Triple

T16314694
Position Surface form Disambiguated ID Type / Status
Subject Nice metropolitan area E396143 entity
Predicate contains P35 FINISHED
Object Aspremont E362748 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: Aspremont | Statement: [Nice metropolitan area, contains, Aspremont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aspremont
Context triple: [Nice metropolitan area, contains, Aspremont]
  • A. Aspremont chosen
    Aspremont is a small picturesque commune in southeastern France, situated in the hills above Nice in the Alpes-Maritimes department.
  • B. Rocard
    Rocard is a French surname most notably associated with Michel Rocard, a former Prime Minister of France and prominent Socialist politician.
  • C. Jeanneret
    Jeanneret is a Swiss surname most notably associated with architect Pierre Jeanneret, a key collaborator of Le Corbusier in modernist architecture.
  • D. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • E. Lardé
    Lardé is the surname of Alicia Esther Lardé, a Salvadoran-born physicist and the first wife of mathematician John Nash.
  • 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.