Triple
T26100485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexican telephone numbering plan |
E658384
|
entity |
| Predicate | mobileNumbersPortability |
P15690
|
FINISHED |
| Object | supported |
—
|
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: supported | Statement: [Mexican telephone numbering plan, mobileNumbersPortability, supported]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mobileNumbersPortability Context triple: [Mexican telephone numbering plan, mobileNumbersPortability, supported]
-
A.
supportsNumberPorting
chosen
Indicates that an entity enables or allows the transfer of an existing phone number from one service or provider to another.
-
B.
mobileNumbersDistinguishedBy
Indicates that multiple mobile phone numbers are differentiated from one another based on some distinguishing attribute or criterion.
-
C.
mobileNumbersHaveNoGeographicAreaCode
Indicates that mobile phone numbers are not associated with or constrained by any specific geographic area code.
-
D.
numberRetiredNumber
Indicates that a specific jersey number has been officially retired in honor of a particular person or entity.
-
E.
telecommunicationsProvider
Indicates that one entity provides telecommunications services (such as phone, internet, or data connectivity) to another entity.
- 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_69ee5bc09c288190bc42a11972841383 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6073a39408190994ac1c8983a7c0b |
completed | May 2, 2026, 2:16 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fd90fc81909055b211368f9139 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 7:54 p.m.