Triple
T5976234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sancho |
E133000
|
entity |
| Predicate | usesTelephoneNumberingPlan |
P53890
|
FINISHED |
| Object | Brazilian telephone 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: Brazilian telephone numbering plan | Statement: [Sancho, usesTelephoneNumberingPlan, Brazilian telephone numbering plan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTelephoneNumberingPlan Context triple: [Sancho, usesTelephoneNumberingPlan, Brazilian telephone 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.
hasTelephoneService
Indicates that a subject is provided with or connected to telephone service.
-
C.
hasCallInNumber
Indicates that an entity has an associated telephone number designated for receiving incoming calls.
-
D.
hasTelecommunicationsRole
Indicates that an entity holds or performs a specific function, position, or responsibility within the field of telecommunications.
-
E.
associatedFlagCarrier
Indicates that one entity serves as the designated national or primary flag carrier airline associated with another entity (such as a country, region, or organization).
- 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_69c0086f45e8819098f73dd16d45ec9d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc2243c8190bd3488e7b24af985 |
completed | March 22, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c049dcb3c081908ccc9b4d4b210229 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:04 p.m.