Triple

T23090009
Position Surface form Disambiguated ID Type / Status
Subject Fort-de-France E575718 entity
Predicate hasLandmark P105 FINISHED
Object Fort Saint-Louis NE NERFINISHED

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 Saint-Louis | Statement: [Fort-de-France, hasLandmark, Fort Saint-Louis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort Saint-Louis
Context triple: [Fort-de-France, hasLandmark, Fort Saint-Louis]
  • A. Fort Saint-Louis chosen
    Fort Saint-Louis is a historic coastal fortress in Fort-de-France, Martinique, that has long served as a key military stronghold and naval base in the Caribbean.
  • B. Fort Saint-Charles
    Fort Saint-Charles is a historic 17th-century French military fortification in Basse-Terre, Guadeloupe, later renamed Fort Delgrès in honor of anti-slavery hero Louis Delgrès.
  • C. Fort Saint-André
    Fort Saint-André is a medieval fortress in Villeneuve-lès-Avignon, France, built to control access to Avignon and the Rhône Valley and renowned for its well-preserved walls and panoramic views.
  • D. Fort Saint-Georges
    Fort Saint-Georges is a medieval fortification forming part of the historic Château de Chinon complex in France.
  • E. Fort Saint-Jean
    Fort Saint-Jean is a historic coastal fortress in Marseille, France, guarding the entrance to the Old Port and now integrated into the MuCEM museum complex.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245bf3e3c819086d3448720efc01b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18da99bec81908ecadf8dab10d1b7 completed April 29, 2026, 4:48 a.m.
Created at: April 17, 2026, 3:57 p.m.