Triple

T6689855
Position Surface form Disambiguated ID Type / Status
Subject François Viète E152596 entity
Predicate birthPlace P1 FINISHED
Object Fontenay-le-Comte E693683 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: Fontenay-le-Comte | Statement: [François Viète, birthPlace, Fontenay-le-Comte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fontenay-le-Comte
Context triple: [François Viète, birthPlace, Fontenay-le-Comte]
  • A. Fontenay-le-Comte chosen
    Fontenay-le-Comte is a historic town in western France known as an administrative and cultural center in the Vendée department.
  • B. Villeparisis
    Villeparisis is a suburban commune in the Île-de-France region of north-central France, located northeast of Paris in the Seine-et-Marne department.
  • C. Gonesse
    Gonesse is a commune in the northeastern suburbs of Paris, France, known historically as a rural town and now as part of the greater Paris metropolitan area.
  • D. Poissy
    Poissy is a commune in the western suburbs of Paris, France, known for hosting Le Corbusier’s iconic modernist Villa Savoye.
  • E. Louveciennes
    Louveciennes is a picturesque commune in north-central France, noted for its scenic landscapes that attracted Impressionist painters such as Camille Pissarro.
  • 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_69c6880687b08190805278b504d1c92c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6b15149408190ac679d037d87cba7 completed March 27, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce019fb0cc81908a24b0e39110325d completed April 2, 2026, 5:41 a.m.
Created at: March 27, 2026, 2:04 p.m.