Triple
T26100463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexican telephone numbering plan |
E658384
|
entity |
| Predicate | usesCountryCallingCode |
P247
|
FINISHED |
| Object | +52 |
—
|
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: +52 | Statement: [Mexican telephone numbering plan, usesCountryCallingCode, +52]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCountryCallingCode Context triple: [Mexican telephone numbering plan, usesCountryCallingCode, +52]
-
A.
callingCode
chosen
Indicates the telephone country or area code associated with an entity for making phone calls.
-
B.
numericCountryCode
Indicates that a country is associated with a specific numeric code that uniquely identifies it.
-
C.
isCountryCode
Indicates that one entity is a valid country code designating the country represented by the other entity.
-
D.
callingCodeType
Indicates the type or category of a telephone calling code associated with an entity.
-
E.
continentCode
Indicates the standardized code assigned to the continent with which an entity is associated.
- 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_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 26, 2026, 7:54 p.m.