Triple
T26100481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexican telephone numbering plan |
E658384
|
entity |
| Predicate | subscriberNumberLength |
P110643
|
FINISHED |
| Object | 7 or 8 digits depending on area code length |
—
|
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: 7 or 8 digits depending on area code length | Statement: [Mexican telephone numbering plan, subscriberNumberLength, 7 or 8 digits depending on area code length]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subscriberNumberLength Context triple: [Mexican telephone numbering plan, subscriberNumberLength, 7 or 8 digits depending on area code length]
-
A.
subscriberNumberLengthRange
Indicates the allowed minimum and maximum length range for a subscriber’s phone number in a given context.
-
B.
maximumNationalNumberLength
Indicates the greatest number of digits allowed in a national (domestic) phone number for a given country or numbering plan.
-
C.
countryCodeLength
Indicates the number of characters that a given country code consists of.
-
D.
usesVariableLengthSubscriberNumbers
chosen
Indicates that the system or service employs subscriber numbers whose lengths can vary rather than being fixed.
-
E.
telephoneStandard
Indicates that there is a relationship involving the use of a particular telephone standard or protocol for communication between entities.
- 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_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 7:54 p.m.