Triple

T16314695
Position Surface form Disambiguated ID Type / Status
Subject Nice metropolitan area E396143 entity
Predicate contains P35 FINISHED
Object Tourrette-Levens E362741 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: Tourrette-Levens | Statement: [Nice metropolitan area, contains, Tourrette-Levens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tourrette-Levens
Context triple: [Nice metropolitan area, contains, Tourrette-Levens]
  • A. Tourrette-Levens chosen
    Tourrette-Levens is a small medieval hilltop village in southeastern France, near Nice, known for its castle and picturesque views over the surrounding Alpes-Maritimes region.
  • B. Tourette-du-Château
    Tourette-du-Château is a small hilltop commune in southeastern France’s Alpes-Maritimes department, known for its medieval character and panoramic views over the surrounding valleys.
  • C. Le Touret
    Le Touret is a village in northern France notable for its First World War cemeteries and memorials to fallen soldiers.
  • D. Tôtes
    Tôtes is a small commune in the Seine-Maritime department of the Normandy region in northern France.
  • E. Labine
    Labine is a Canadian surname most notably associated with a family of actors, including Kyle Labine and his brothers.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288de57cc81908cec93309347c385 completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001fa88e8c8190b0423b60389896dc completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:06 a.m.