Triple
T15922287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open de France |
E386120
|
entity |
| Predicate | recordAggregateScore |
P120548
|
FINISHED |
| Object | 259 |
—
|
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: 259 | Statement: [Open de France, recordAggregateScore, 259]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordAggregateScore Context triple: [Open de France, recordAggregateScore, 259]
-
A.
scoringRecord
Indicates that there exists a record documenting a scoring event or outcome associated with the given entities.
-
B.
isPartOfScoreBy
Indicates that something constitutes a component or segment within a larger score or musical composition.
-
C.
scoresWhen
Indicates that one entity achieves a score or points at the time or under the condition specified by another entity or event.
-
D.
teamScoring
Indicates that a team achieves a score or points in a game, match, or competitive event.
-
E.
scoredFor
Indicates that one entity achieved points or a score on behalf of another entity, such as a player scoring for a team.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e172b48b308190bc430b2308cbc75b |
completed | April 16, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69e142cf5c548190a931f7b58144cd31 |
completed | April 16, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69e172b213e481909ee0c05e16229a26 |
completed | April 16, 2026, 11:37 p.m. |
Created at: April 10, 2026, 4:52 a.m.