Triple

T10815511
Position Surface form Disambiguated ID Type / Status
Subject Gouais E255217 entity
Predicate parentOf P120 FINISHED
Object Bachet noir E887585 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: Bachet noir | Statement: [Gouais, parentOf, Bachet noir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bachet noir
Context triple: [Gouais, parentOf, Bachet noir]
  • A. Bachet Noir chosen
    Bachet Noir is a rare, old French wine grape variety historically used in the Champagne region and known primarily as a parent of the modern grape variety Gamay.
  • B. Le Mat
    Le Mat is a surname most notably associated with American actor Paul Le Mat, known for his role in the film "American Graffiti."
  • C. Chenail Ecarte
    Chenail Ecarte is a channel of the St. Clair River system forming part of the water boundary between Ontario, Canada, and Michigan, United States.
  • D. Chabreloche
    Chabreloche is a small commune in central France’s Puy-de-Dôme department, known for its location in the mountainous Auvergne region.
  • E. Le Chat
    Le Chat is a poem by Charles Baudelaire, likely featuring his muse Jeanne Duval, that explores sensuality and mystery through the figure of a cat.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733edab248190b2cf7f7bc2684468 completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb0f9e3a081908163b398d845deeb completed April 14, 2026, 9:26 p.m.
Created at: April 8, 2026, 9:18 p.m.