Triple
T15921935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Vélo |
E386112
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | L'Auto |
E82729
|
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: L'Auto | Statement: [Le Vélo, competitor, L'Auto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: L'Auto Context triple: [Le Vélo, competitor, L'Auto]
-
A.
L’Auto
chosen
L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
-
B.
Les Coches
Les Coches is a purpose-built ski village in the French Alps that forms part of the larger La Plagne ski resort within the Paradiski area.
-
C.
Coupe de Ville
Coupe de Ville is a 1990 American coming-of-age comedy-drama film about three estranged brothers who reconnect during a cross-country road trip in the 1960s.
-
D.
La Coche
La Coche is one of the small islands in the Les Saintes archipelago in the Caribbean, known for its rugged coastline and surrounding marine life.
-
E.
The Car
"The Car" is a 2022 studio album by English rock band Arctic Monkeys, noted for its lush orchestration, cinematic atmosphere, and introspective songwriting.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156825b1881908477ec93cc7b5f02 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5aba70c8190a74c45bce6f9b782 |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:52 a.m.