Triple
T21631599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Junior Curling Championships |
E533842
|
entity |
| Predicate | numberOfEndsPerGame |
P145314
|
FINISHED |
| Object | typically 8 or 10 |
—
|
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 8 or 10 | Statement: [World Junior Curling Championships, numberOfEndsPerGame, typically 8 or 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfEndsPerGame Context triple: [World Junior Curling Championships, numberOfEndsPerGame, typically 8 or 10]
-
A.
gamesEnded
Indicates that one or more games have concluded, reaching their final state or outcome.
-
B.
teamCountPerGame
Indicates the number of teams that participate in a single game or match.
-
C.
numberOfGamesInMatch
Indicates the total count of individual games that make up a single match.
-
D.
oversPerSide
Indicates the number of overs allocated to each side (team or player) in a match or contest.
-
E.
typicalNumberOfGamesRange
Indicates the usual minimum and maximum number of games typically played in the associated context or setting.
- 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.