Triple

T18841413
Position Surface form Disambiguated ID Type / Status
Subject Le Noirmont E460804 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Les Breuleux 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: Les Breuleux | Statement: [Le Noirmont, hasNeighboringMunicipality, Les Breuleux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Les Breuleux
Context triple: [Le Noirmont, hasNeighboringMunicipality, Les Breuleux]
  • A. Les Breuleux chosen
    Les Breuleux is a small Swiss municipality and village in the Jura region, known for its watchmaking tradition and rural alpine setting.
  • B. Bruyères
    Bruyères is a commune in northeastern France’s Vosges department, known for its World War II liberation during the Battle of Bruyères involving the U.S. Army’s 442nd Regimental Combat Team.
  • C. Belbeuf
    Belbeuf is a commune in northern France that forms part of the greater Rouen metropolitan area.
  • D. Bouvron
    Bouvron is a small commune in western France, situated in the Loire-Atlantique department of the Pays de la Loire region.
  • E. L’Arbresle
    L’Arbresle is a small commune in eastern France’s Auvergne-Rhône-Alpes region, known for its historic town center and proximity to Lyon.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5b8ea35c88190af6659551ad18130 completed April 20, 2026, 5:26 a.m.
Created at: April 10, 2026, 11:56 a.m.