Triple
T7492400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Switched Telephone Network |
E177035
|
entity |
| Predicate | usesNumberingPlan |
P53890
|
FINISHED |
| Object | E.164 international numbering plan |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: E.164 international numbering plan | Statement: [Public Switched Telephone Network, usesNumberingPlan, E.164 international numbering plan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesNumberingPlan Context triple: [Public Switched Telephone Network, usesNumberingPlan, E.164 international numbering plan]
-
A.
telephoneNumberingPlan
chosen
Indicates a relationship where a telephone numbering plan defines or governs how telephone numbers are structured, assigned, or managed for a given telecommunication context.
-
B.
serviceNumbering
Indicates that a specific service is assigned or associated with a particular identifying number or code.
-
C.
callingCodeType
Indicates the type or category of a telephone calling code associated with an entity.
-
D.
callingCode
Indicates the telephone country or area code associated with an entity for making phone calls.
-
E.
supportsNumberPorting
Indicates that an entity enables or allows the transfer of an existing phone number from one service or provider to another.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81b431481908214b69c6c8d83bc |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d266d88190982cf5d2ee2e9564 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:43 p.m.