Triple

T18449726
Position Surface form Disambiguated ID Type / Status
Subject Vendlincourt E450747 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Boncourt 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: Boncourt | Statement: [Vendlincourt, hasNeighboringMunicipality, Boncourt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boncourt
Context triple: [Vendlincourt, hasNeighboringMunicipality, Boncourt]
  • A. Boncourt chosen
    Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
  • B. Calvé
    Calvé is a well-known food brand, particularly recognized for its peanut butter and sauces, that forms part of Unilever’s global brand portfolio.
  • C. Boissonnas
    Boissonnas is a Swiss family name notably associated with the renowned photographer Frédéric Boissonnas and his influential work in early 20th-century landscape and travel photography.
  • D. Belmont-sur-Rance
    Belmont-sur-Rance is a small rural commune in the Aveyron department of southern France, known for its historic architecture and scenic setting in the Occitanie region.
  • E. Condécourt
    Condécourt is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264748dc8190984501af3e4b2036 completed April 19, 2026, 7 p.m.
Created at: April 10, 2026, 11:30 a.m.