Triple
T24695293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mont Ventoux |
E611566
|
entity |
| Predicate | firstTourDeFranceInclusionYear |
P158091
|
FINISHED |
| Object | 1951 |
—
|
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: 1951 | Statement: [Mont Ventoux, firstTourDeFranceInclusionYear, 1951]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstTourDeFranceInclusionYear Context triple: [Mont Ventoux, firstTourDeFranceInclusionYear, 1951]
-
A.
firstTourDeFranceYear
Indicates the year in which an entity (typically a cyclist) first participated in the Tour de France.
-
B.
firstTourDeFranceHeld
Indicates that the subject is the location or context in which the first Tour de France event was held.
-
C.
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.
-
D.
firstTourYear
Indicates the year in which an entity (such as a performer, team, or event) undertook its first tour.
-
E.
firstGrandTourEstablished
Indicates that an entity initiated or created the earliest instance of a particular Grand Tour.
- 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_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
| PDg | Predicate description generation | batch_69f464ae42e88190b3549fdf4e0b425e |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 18, 2026, 3:21 a.m.