Triple

T20271091
Position Surface form Disambiguated ID Type / Status
Subject Golfe de Saint-Tropez Airport E499093 entity
Predicate locatedIn P40 FINISHED
Object La Môle — 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: La Môle | Statement: [Golfe de Saint-Tropez Airport, locatedIn, La Môle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Môle
Context triple: [Golfe de Saint-Tropez Airport, locatedIn, La Môle]
  • A. La Môle
    La Môle is a central fictional nobleman and lover in Alexandre Dumas’s historical novel "Queen Margot," set amid the intrigues and violence of 16th-century France.
  • B. La Môle chosen
    La Môle is a small commune in the Var department of southeastern France, situated in the Provence-Alpes-Côte d'Azur region near the French Riviera.
  • C. La Canebière
    La Canebière is Marseille’s historic main boulevard, known for its shops, cafés, and role as a central artery linking the Old Port to the rest of the city.
  • D. City of Le Havre
    The City of Le Havre is a major port city in northwestern France on the English Channel, known for its modernist postwar architecture and significant maritime and industrial activities.
  • E. Le Gâvre
    Le Gâvre is a small commune in the Loire-Atlantique department in western France, known for its extensive forested area.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e675dd7c58819095bbf4baeda04d6a completed April 20, 2026, 6:52 p.m.
Created at: April 11, 2026, 11:42 p.m.