If you printed the DN 1234 in Load 20 and it came back with
1234 is a PLDN then do a print of GHT in LD 20. It will print every group hunt list that is built and show the list that is attached to the 1234 PLDN. Look also to LD 18 and LD 57 for setup of the PLDN. It sounds like it is built as a hunting pattern for calls. The GHT will have the numbers listed in order for how the calls hunt and in LD 57 you can see if the PLDN is setup as a round robin hunt or just a one time hunt thru the list and stoping at the last number. Call Forward may also over ride that hunt but it is how it was programmed. Hope this helps.
openthegate: Thanks for the response, however, I think you misunderstood the question.
What I need is the ability to determine in what capacity is a specified digit string used.
In the Avaya, the list usage command returns the "element" associated with a digits submitted. It would return a result showing if it were a DN, a vector, a VDN etc.
Let me be more to the point. I'd like to know if there's a feature in the CS1000 that can cross-references numbers (an extension number perhaps). Lets say extension 1234, I'd like to find out if it is possible to find out if another extension is call forwarded to extension 1234 - without placing an enhanced trace on 1234.
From load 20 you can see the last extention to hunt to a number see below
I can see the last TN to hunt to my extention 1277. Then I can print 28 0 8 12 to see how the phone is setup
REQ: prt
TYPE: hnt
CUST 0
HTNO 1277
DN 1277 HUNTED FROM
TN 028 0 08 12
to check and see if a specific ACD, Phantom, or extention is forwarded to another I would recommend you go to load 20 and print all TNBs and load 23 and print all ACDs while capturing the data to a text file. Then you can do a control F to locate what is forwarding by searching just for the extension number being forwarded to. You can also import to an Excel file using one of the cool programs you can find in the FAQ section of Tek-Tips. I use it often and it only takes a few minutes to print and import the data unless you have 10,000 or more users then it may take a while longer. Hope this helps you out.
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