Triple

T17925109
Position Surface form Disambiguated ID Type / Status
Subject Doron de Bozel E448172 entity
Predicate partOf P40 FINISHED
Object Dorons of Bozel and Belleville 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: Dorons of Bozel and Belleville | Statement: [Doron de Bozel, partOf, Dorons of Bozel and Belleville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorons of Bozel and Belleville
Context triple: [Doron de Bozel, partOf, Dorons of Bozel and Belleville]
  • A. Doron de Bozel chosen
    Doron de Bozel is a member or branch of the Dorons of Bozel and Belleville family lineage.
  • B. Boizel
    Boizel is a historic Champagne producer renowned for its elegant, terroir-driven sparkling wines crafted in Épernay, France.
  • C. Sorvilier
    Sorvilier is a small municipality in the French-speaking Bernese Jura region of the canton of Bern in Switzerland.
  • D. Boussens
    Boussens is a commune in southwestern France, located in the Haute-Garonne department within the Occitanie region.
  • E. Lübars
    Lübars is a historic, village-like district in Berlin’s Reinickendorf borough, known for its rural character, fields, and preserved traditional architecture within the city.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a54cf8188190b9bd676443418c23 completed April 19, 2026, 9:50 a.m.
Created at: April 10, 2026, 10:20 a.m.