Triple
T21631643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Wheelchair Curling Championship |
E533843
|
entity |
| Predicate | endsPerGame |
P145318
|
FINISHED |
| Object | typically eight ends |
—
|
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: typically eight ends | Statement: [World Wheelchair Curling Championship, endsPerGame, typically eight ends]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endsPerGame Context triple: [World Wheelchair Curling Championship, endsPerGame, typically eight ends]
-
A.
pointsPerGame
Indicates the average number of points an entity scores per game over a given set of games.
-
B.
teamCountPerGame
Indicates the number of teams that participate in a single game or match.
-
C.
oversPerSide
Indicates the number of overs allocated to each side (team or player) in a match or contest.
-
D.
awayGamesPerTeam
Indicates the number of games a team plays as the visiting (away) side.
-
E.
setsPerMatch
Indicates the number of sets that are played or scheduled to be played in a single match.
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5217952c8190910c2103fb4a27d9 |
completed | April 27, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69e69677b9c48190bf81f795aa8ad74e |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69cb4bcbc8190a4fc2d508df107be |
completed | April 20, 2026, 9:37 p.m. |
Created at: April 16, 2026, 6:34 p.m.