Triple
T27825379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henri Pélissier |
E702937
|
entity |
| Predicate | overallWinnerOf |
P6361
|
FINISHED |
| Object | 1923 Tour de France |
—
|
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: 1923 Tour de France | Statement: [Henri Pélissier, overallWinnerOf, 1923 Tour de France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: overallWinnerOf Context triple: [Henri Pélissier, overallWinnerOf, 1923 Tour de France]
-
A.
competitionWinnerFor
Indicates that an entity is the winner of a specified competition or contest.
-
B.
ownedWinnerOf
Indicates that an entity owns or possesses the winner of a specified competition, contest, or event.
-
C.
mainWinner
chosen
Indicates that one entity is the primary or overall winner in a competition, contest, or comparative outcome relative to others.
-
D.
lastWinner
Indicates that one entity is the most recent winner in a sequence of competitions, contests, or events involving the other entity.
-
E.
titleWinner
Indicates that an entity has won a specific title, championship, or formal award.
- 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_69ef840ad1e88190b5bff2d1ddec8700 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63b317e048190963989b732b25b91 |
completed | May 2, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69f6370ea79c81909b761821ee0fa698 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 5:51 p.m.