Triple
T26100477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexican telephone numbering plan |
E658384
|
entity |
| Predicate | eliminatedPrefix |
P93740
|
FINISHED |
| Object | 045 |
—
|
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: 045 | Statement: [Mexican telephone numbering plan, eliminatedPrefix, 045]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eliminatedPrefix Context triple: [Mexican telephone numbering plan, eliminatedPrefix, 045]
-
A.
predecessorTrim
Indicates that one entity is the immediate predecessor of another in a sequence after some trimming or reduction operation has been applied.
-
B.
usedAsPrefixIn
chosen
Indicates that one element functions as a leading prefix component in the formation or representation of another element.
-
C.
removedBefore
Indicates that one entity was removed or taken away earlier in time than another specified entity or event.
-
D.
namespacePrefix
Indicates the abbreviated prefix string associated with a particular namespace URI in a naming or identifier system.
-
E.
isEliminatedPrimarilyBy
Indicates that one entity serves as the main means or pathway by which another entity is removed, cleared, or disposed of.
- 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_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 26, 2026, 7:54 p.m.