Triple

T6232719
Position Surface form Disambiguated ID Type / Status
Subject Departmental Council of Martinique E139394 entity
Predicate seatIn P23175 FINISHED
Object Fort-de-France E221136 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: Fort-de-France | Statement: [Departmental Council of Martinique, seatIn, Fort-de-France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort-de-France
Context triple: [Departmental Council of Martinique, seatIn, Fort-de-France]
  • A. Fort-de-France chosen
    Fort-de-France is the largest city and administrative, economic, and cultural center of the French Caribbean island of Martinique.
  • B. La Flèche
    La Flèche is a historic town in western France known for its royal heritage, educational institutions, and the renowned Zoo de La Flèche.
  • C. Tallard
    Tallard is a French surname most notably associated with Camille d'Hostun, duc de Tallard, a marshal of France during the War of the Spanish Succession.
  • D. Pont-de-l’Isère
    Pont-de-l’Isère is a commune in southeastern France’s Drôme department, known for its location along the Isère River near its confluence with the Rhône.
  • E. Trois-Ponts
    Trois-Ponts is a small municipality in the province of Liège in Wallonia, Belgium, known for its scenic Ardennes landscape and railway junction.
  • 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_69c008b0e7ac8190808a59573ee646f3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062ee6f088190bf72692eb8ffb761 completed March 22, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638568068819097811baeb8bf3ab3 completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:22 p.m.