Triple
T15670724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg LeMond |
E377303
|
entity |
| Predicate | team |
P3756
|
FINISHED |
| Object | Renault–Elf–Gitane |
E77574
|
NE 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: Renault–Elf–Gitane | Statement: [Greg LeMond, team, Renault–Elf–Gitane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Renault–Elf–Gitane Context triple: [Greg LeMond, team, Renault–Elf–Gitane]
-
A.
Renault–Gitane
chosen
Renault–Gitane was a dominant French professional cycling team of the late 1970s and early 1980s, known for nurturing multiple Grand Tour champions and pioneering modern team tactics.
-
B.
Flandin
Flandin is a French surname most notably borne by Pierre-Étienne Flandin, a prominent 20th-century French politician and statesman.
-
C.
Ford France–Gitane
Ford France–Gitane was a professional French road cycling team of the 1960s, sponsored by the Ford automobile company and Gitane bicycles.
-
D.
Jupiler
Jupiler is a popular Belgian pilsner beer brand widely known for its strong association with football and major sports sponsorships.
-
E.
Chavignol
Chavignol is a small village in France’s Loire Valley renowned for its traditional goat’s milk cheese, Crottin de Chavignol.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f1254508190a77a16b7bfd299ad |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff67a431208190b7e0d1eefd55504a |
completed | May 9, 2026, 4:58 p.m. |
Created at: April 10, 2026, 4:16 a.m.