Triple
T35025677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Col de Marie-Blanque |
E1010329
|
entity |
| Predicate | firstFeaturedInTourDeFrance |
—
|
GENERATED |
| Object | 1978 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFeaturedInTourDeFrance Context triple: [Col de Marie-Blanque, firstFeaturedInTourDeFrance, 1978]
-
A.
firstUsedInTourDeFrance
Indicates that something (such as equipment, technology, or a practice) was used for the first time during a specific edition of the Tour de France.
-
B.
firstTourDeFranceYear
Indicates the year in which an entity (typically a cyclist) first participated in the Tour de France.
-
C.
lastTourDeFranceParticipation
Indicates the most recent instance in which an entity took part in the Tour de France.
-
D.
firstTourDeFranceHeld
Indicates that the subject is the location or context in which the first Tour de France event was held.
-
E.
firstTourDeFranceInclusionYear
chosen
Indicates the year in which an entity (such as a cyclist, team, or nation) was first included or participated in the Tour de France.
- F. None of above.
Provenance (1 batch)
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_69f76dccf0108190af43b465d3750196 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:01 p.m.