Triple

T20781475
Position Surface form Disambiguated ID Type / Status
Subject Battle of Le Mans (1793) E511491 entity
Predicate location P40 FINISHED
Object Le Mans 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: Le Mans | Statement: [Battle of Le Mans (1793), location, Le Mans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le Mans
Context triple: [Battle of Le Mans (1793), location, Le Mans]
  • A. Le Mans chosen
    Le Mans is a historic city in northwestern France best known for its annual 24 Hours of Le Mans endurance sports car race.
  • B. Paris–Le Mans
    Paris–Le Mans is a major high-speed rail corridor in France linking the capital to the city of Le Mans as part of the TGV Atlantique network.
  • C. Montlhéry
    Montlhéry is a commune in northern France best known for its historic motor racing circuit, the Autodrome de Linas-Montlhéry.
  • D. Viroflay
    Viroflay is a suburban commune in the Yvelines department of the Île-de-France region in north-central France, located just southwest of Paris.
  • E. Deauzya
    Deauzya is the given first name of American professional basketball player DiDi Richards.
  • 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_69e0b4cac7a48190a715cb3d545df2b4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c287b5288190823766fe59402d48 completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:37 p.m.