Triple
T3657800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renault–Gitane |
E77574
|
entity |
| Predicate | grandTourSuccess |
P17172
|
FINISHED |
| Object | multiple Tour de France victories through its riders |
—
|
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: multiple Tour de France victories through its riders | Statement: [Renault–Gitane, grandTourSuccess, multiple Tour de France victories through its riders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grandTourSuccess Context triple: [Renault–Gitane, grandTourSuccess, multiple Tour de France victories through its riders]
-
A.
otherGrandTour
Indicates a relationship where an entity participates in or is associated with a Grand Tour event that is not the primary or main one under consideration.
-
B.
numberOfGrandTourOverallVictories
chosen
Indicates the total count of times an entity has won the overall classification in any of cycling’s Grand Tours (Tour de France, Giro d’Italia, or Vuelta a España).
-
C.
hasTour
Indicates that an entity offers, includes, or is associated with a tour experience or guided visit.
-
D.
notableTour
Indicates that an entity is recognized for having a significant or well-known tour associated with it.
-
E.
continentCrossed
Indicates that an entity has traversed from one side of a continent to the other, crossing the continent’s landmass.
- 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.