Triple
T9775098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Carter |
E237225
|
entity |
| Predicate | capsForNewZealand |
P10860
|
FINISHED |
| Object | over 100 |
—
|
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: over 100 | Statement: [Dan Carter, capsForNewZealand, over 100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capsForNewZealand Context triple: [Dan Carter, capsForNewZealand, over 100]
-
A.
caps
Indicates that one entity serves as the capital city or administrative center of another entity, such as a country, state, or region.
-
B.
capsForFrance
Indicates that an individual has made official playing appearances (caps) for the France national team.
-
C.
containsCape
Indicates that one entity includes or has a cape as part of it or associated with it.
-
D.
hasInternationalCapsFor
chosen
Indicates that an individual has made official appearances (caps) for a specified national team in international competition.
-
E.
capped
Indicates that one entity has placed a limit or maximum boundary on another entity’s quantity, value, or extent.
- 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_69ca84d975a08190aab25b02a89bdab3 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda13148288190bcbb3b4a066d9fc1 |
completed | April 1, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69cd03d3b68c81909e570401a891b9f2 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:26 p.m.