Triple

T20332500
Position Surface form Disambiguated ID Type / Status
Subject Jean-Charles Pichegru E492519 entity
Predicate placeOfBirth P1 FINISHED
Object Arbois 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: Arbois | Statement: [Jean-Charles Pichegru, placeOfBirth, Arbois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arbois
Context triple: [Jean-Charles Pichegru, placeOfBirth, Arbois]
  • A. Arbois chosen
    Arbois is a small French town in the Jura region renowned for its vineyards and distinctive Jura wines, particularly vin jaune.
  • B. Gueugnon
    Gueugnon is a small commune in eastern France known historically for its steel industry and location in the Bourgogne-Franche-Comté region.
  • C. Chassieu
    Chassieu is a commune in the Metropolis of Lyon in eastern France, known for its residential areas and proximity to the Lyon urban center.
  • D. Pougny
    Pougny is a small French commune, likely located near the Swiss border in the Auvergne-Rhône-Alpes region.
  • E. Vouvry
    Vouvry is a Swiss municipality in the canton of Valais, located in the Chablais region near the Rhône River and the eastern end of Lake Geneva.
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e886a08190952b828fedd2a411 completed April 20, 2026, 7 p.m.
Created at: April 16, 2026, 11:22 a.m.