Triple
T24695292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mont Ventoux |
E611566
|
entity |
| Predicate | tourDeFranceStageFinish |
P156996
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Mont Ventoux, tourDeFranceStageFinish, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tourDeFranceStageFinish Context triple: [Mont Ventoux, tourDeFranceStageFinish, yes]
-
A.
grandTourStageWin
Indicates that an individual has won a stage in one of cycling’s Grand Tours (Tour de France, Giro d’Italia, or Vuelta a España).
-
B.
timeTrialStages
Indicates that the related stages of a race are conducted as time trials, where participants compete individually against the clock rather than directly against each other.
-
C.
bestTourDeFranceResult
Indicates the highest (best) finishing position an entity has ever achieved in the Tour de France.
-
D.
numberOfTourDeFranceStageWins
Indicates the total count of Tour de France stages that an entity (typically a cyclist) has won.
-
E.
tourDeFranceCategory
Indicates that an entity is classified into a specific category or classification related to the Tour de France.
- 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_69e2c4d76d148190b58ad612467149a5 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f410fc18808190b4e47d5a71d3a126 |
completed | May 1, 2026, 2:33 a.m. |
Created at: April 18, 2026, 3:21 a.m.