Triple
T21975400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Mixed Doubles Curling Championship |
E542691
|
entity |
| Predicate | stoneCountPerTeamPerEnd |
P19192
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [World Mixed Doubles Curling Championship, stoneCountPerTeamPerEnd, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stoneCountPerTeamPerEnd Context triple: [World Mixed Doubles Curling Championship, stoneCountPerTeamPerEnd, 6]
-
A.
numberOfEndsPerGame
Indicates the number of distinct end phases or concluding segments that occur within a single game.
-
B.
hasLeadCountPerSide
Indicates the number of lead elements or units associated with each side in a given context or configuration.
-
C.
teamCountPerGame
Indicates the number of teams that participate in a single game or match.
-
D.
numberOfBallsPerInnings
Indicates the quantity of balls delivered or played during a single innings.
-
E.
numberOfStones
chosen
Indicates the quantitative count of stones associated with a given entity or context.
- 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f124886418819091daed0988432350 |
completed | April 28, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69e6f6154e408190acc5b2c278acaff4 |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:03 p.m.