Triple

T12487896
Position Surface form Disambiguated ID Type / Status
Subject Charente E298483 entity
Predicate contains P35 FINISHED
Object Jarnac E61808 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: Jarnac | Statement: [Charente, contains, Jarnac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jarnac
Context triple: [Charente, contains, Jarnac]
  • A. Jarnac chosen
    Jarnac is a small town in southwestern France, known for its location on the Charente River and as the birthplace of former French president François Mitterrand.
  • B. Hesperange
    Hesperange is a commune in southern Luxembourg, located just south of the capital city and known for its residential character and historic castle ruins.
  • C. Quarreux
    Quarreux is a scenic hamlet in the municipality of Stoumont in Belgium’s Ardennes region, known for its picturesque river landscapes and natural surroundings.
  • D. Clamecy
    Clamecy is a historic commune in central France known for its medieval architecture and former timber-floating industry along the Yonne River.
  • E. Taradeau
    Taradeau is a small commune in the Var department of southeastern France, known for its Provençal countryside, vineyards, and proximity to the Massif des Maures.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94de077bc81908b5ff057a1bf2b4f completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64ba7d8bc8190acc1f0d537a5bbbb completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:56 p.m.