Triple
T29447629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 6 Hours of Fuji |
E746892
|
entity |
| Predicate | heldAsPartOfSeason |
P45371
|
FINISHED |
| Object | FIA World Endurance Championship |
—
|
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: FIA World Endurance Championship | Statement: [6 Hours of Fuji, heldAsPartOfSeason, FIA World Endurance Championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heldAsPartOfSeason Context triple: [6 Hours of Fuji, heldAsPartOfSeason, FIA World Endurance Championship]
-
A.
hasPartOfSeason
Indicates that one season includes another season or a segment of a season as a constituent part.
-
B.
occurredInSeason
chosen
Indicates that an event or occurrence took place during a specific season within a temporal sequence (such as a TV show season or sports season).
-
C.
hostedInSeason
Indicates that an event, show, or activity took place or was held during a specific season.
-
D.
wonSeasonOf
Indicates that one entity emerged as the overall winner of a particular season of a competition, show, or series involving the other entity.
-
E.
playsInSeason
Indicates that an entity participates or performs in a specific season of an ongoing series, competition, or event.
- 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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66b21ea908190ae69b3f802fadab1 |
completed | May 2, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 3:29 p.m.