Triple

T14840964
Position Surface form Disambiguated ID Type / Status
Subject Martinique La Première E348961 entity
Predicate headquartersLocation P62 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: [Martinique La Première, headquartersLocation, Fort-de-France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort-de-France
Context triple: [Martinique La Première, headquartersLocation, 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. Fontaine-au-Bois
    Fontaine-au-Bois is a small commune in the Nord department of northern France, situated within the administrative area of the Hauts-de-France region.
  • D. Fontenay-le-Comte
    Fontenay-le-Comte is a historic town in western France known as an administrative and cultural center in the Vendée department.
  • E. 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.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded28e40f08190b309d8ac6404d2fc completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e7de2c08190abf827376cd415ba completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 1:53 a.m.