Triple
T3657826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Vie Claire |
E77575
|
entity |
| Predicate | wonRaceWithRider |
P20470
|
FINISHED |
| Object | Tour de France 1985 with Bernard Hinault |
—
|
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: Tour de France 1985 with Bernard Hinault | Statement: [La Vie Claire, wonRaceWithRider, Tour de France 1985 with Bernard Hinault]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonRaceWithRider Context triple: [La Vie Claire, wonRaceWithRider, Tour de France 1985 with Bernard Hinault]
-
A.
winnerRider
Indicates that a rider is the one who won a particular race or competition.
-
B.
raceStatus
Indicates the current state or progress of an entity’s participation in a race or competitive event.
-
C.
wonBy
chosen
Indicates that a contest, game, or competition is decided in favor of a particular participant or side.
-
D.
winnerState
Indicates the state or condition of an entity that has achieved victory or been declared the winner in a given context.
-
E.
raceMeeting
Indicates a competitive event where multiple participants race against each other under shared rules and conditions.
- 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3d36c1c8190920397a75de4c47d |
completed | March 8, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69adb847e9d881909dad2ffd0f3b6c15 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:24 p.m.