Triple
T37981133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carisbrook |
E947550
|
entity |
| Predicate | finalAllBlacksTestOpponent |
P199631
|
FINISHED |
| Object | Wales |
—
|
NE NERFINISHED |
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: Wales | Statement: [Carisbrook, finalAllBlacksTestOpponent, Wales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalAllBlacksTestOpponent Context triple: [Carisbrook, finalAllBlacksTestOpponent, Wales]
-
A.
numberOfMatchesForAllBlacks
Indicates the total count of matches or occurrences involving all black entities in the given context.
-
B.
finalScoreBlackPlayer
Indicates the final score achieved by the black player in a game or match.
-
C.
hasAllBlack
Indicates that the subject possesses or consists entirely of things that are black in color.
-
D.
positionInAllBlacksHistory
Indicates the specific role or ranking an entity holds within the historical context or records of the All Blacks rugby team.
-
E.
hasNotableFirstBlackWinner
Indicates that an award, position, or distinction has a historically notable first recipient who is Black.
- F. None of above. chosen
Provenance (4 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_69f76ef8a1d08190a741bbbc5970e3b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ff49016dcc8190a8a43868c728b4f1 |
completed | May 9, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69ff4891924c8190b5be340e2520e012 |
completed | May 9, 2026, 2:45 p.m. |
| PDg | Predicate description generation | batch_69ff490096388190832a90e9abbc8d81 |
completed | May 9, 2026, 2:47 p.m. |
Created at: May 3, 2026, 4:20 p.m.