Triple
T24654033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mont Ventoux |
E610336
|
entity |
| Predicate | famousCyclingEvent |
P18642
|
FINISHED |
| Object | 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: Tour de France | Statement: [Mont Ventoux, famousCyclingEvent, Tour de France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: famousCyclingEvent Context triple: [Mont Ventoux, famousCyclingEvent, Tour de France]
-
A.
cyclingRoadRaceVenue
chosen
Indicates that a location serves as the venue where a cycling road race event takes place.
-
B.
tourDeFranceCategory
Indicates that an entity is classified into a specific category or classification related to the Tour de France.
-
C.
TourDeFranceWins
Indicates the number of times an entity has won the Tour de France cycling race.
-
D.
GrandTour
Indicates a comprehensive, often extended journey or series of visits undertaken to explore multiple places, typically for cultural, educational, or experiential purposes.
-
E.
TourDeFranceWin
Indicates that an entity has won the Tour de France cycling race, typically as the overall general classification winner for a given edition.
- 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_69e2c4d453248190a020354e93ef6282 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 2:34 a.m.