Triple

T19044627
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Ussel E466098 entity
Predicate contains P35 FINISHED
Object Eygurande 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: Eygurande | Statement: [arrondissement of Ussel, contains, Eygurande]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eygurande
Context triple: [arrondissement of Ussel, contains, Eygurande]
  • A. Eygurande chosen
    Eygurande is a commune in central France, located in the Corrèze department within the Nouvelle-Aquitaine region.
  • B. Aranguren
    Aranguren is a municipality in the autonomous community of Navarre in northern Spain, situated near the city of Pamplona.
  • C. Egüés
    Egüés is a municipality in northern Spain’s Navarre region, situated near Pamplona within the Cuenca de Pamplona area.
  • D. Elorrio
    Elorrio is a historic town in northern Spain’s Basque Country, known for its well-preserved medieval center and traditional Basque architecture.
  • E. Arriaga
    Arriaga is a Spanish-language surname most notably associated with Mexican screenwriter and author Guillermo Arriaga.
  • 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d803b2b08190b057d4b5bc555d4f completed April 20, 2026, 7:38 a.m.
Created at: April 10, 2026, 12:03 p.m.