Triple

T8399652
Position Surface form Disambiguated ID Type / Status
Subject canton of Breteuil E198138 entity
Predicate hasCapital P204 FINISHED
Object Breteuil E734737 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: Breteuil | Statement: [canton of Breteuil, hasCapital, Breteuil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Breteuil
Context triple: [canton of Breteuil, hasCapital, Breteuil]
  • A. Breteuil chosen
    Breteuil is a commune in northern France that serves as a local administrative and service hub for its surrounding rural area.
  • B. Rouvres
    Rouvres is a small French commune located in the Île-de-France region in north-central France.
  • C. Escoutoux
    Escoutoux is a small commune in central France’s Puy-de-Dôme department, known for its rural setting in the Auvergne region.
  • D. Douaumont
    Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
  • E. Étiolles
    Étiolles is a commune in the Essonne department of the Île-de-France region in northern France, known for its proximity to the Sénart forest and prehistoric archaeological sites.
  • 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_69ca82f816bc8190ab321c07d72208c1 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb824bfcbc8190b26bfcb5f8c4777c completed March 31, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfab16ebd08190a4851e70a41e9908 completed April 3, 2026, 11:57 a.m.
Created at: March 30, 2026, 6:04 p.m.