Triple
T15966847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Sang et Or |
E387212
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Lens (France) |
E387214
|
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: Lens (France) | Statement: [Les Sang et Or, associatedWith, Lens (France)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lens (France) Context triple: [Les Sang et Or, associatedWith, Lens (France)]
-
A.
Lens, France
chosen
Lens, France is a historic industrial town in the Pas-de-Calais department of northern France, known for its coal-mining heritage and as the home of the football club RC Lens.
-
B.
Nice, France
Nice, France is a major Mediterranean coastal city on the French Riviera known for its picturesque Promenade des Anglais, vibrant arts scene, and historic old town.
-
C.
Lestrem, France
Lestrem is a small commune in the Pas-de-Calais department of northern France, known for its rural character and local agricultural activities.
-
D.
Leon, France
Leon, France is a French locality whose name was used as the namesake for the town of Leon in Iowa, United States.
-
E.
Rousset
Rousset is a French town in the Provence-Alpes-Côte d’Azur region known for hosting significant semiconductor and microelectronics facilities, including a major STMicroelectronics design center.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15726536881908b603e43ae1acafb |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe87149081909ac6129126f597c2 |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:54 a.m.