Triple

T10044791
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Bayonne E207587 entity
Predicate contains P35 FINISHED
Object Ustaritz E799141 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: Ustaritz | Statement: [arrondissement of Bayonne, contains, Ustaritz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ustaritz
Context triple: [arrondissement of Bayonne, contains, Ustaritz]
  • A. Ustaritz chosen
    Ustaritz is a commune in the French Basque Country, near Bayonne in southwestern France, known for its Basque cultural heritage and scenic setting along the Nive River.
  • B. Elorrio
    Elorrio is a historic town in northern Spain’s Basque Country, known for its well-preserved medieval center and traditional Basque architecture.
  • C. Amurrio
    Amurrio is a town and municipality in the Basque province of Álava in northern Spain, known for its industrial activity and scenic rural surroundings.
  • D. Ihuatzio
    Ihuatzio is an important pre-Columbian archaeological site in western Mexico that served as one of the principal urban and ceremonial centers of the Purépecha (Tarascan) civilization.
  • E. Norzagaray
    Norzagaray is a landlocked municipality in the province of Bulacan in the Philippines, known for its quarrying industry and natural attractions such as dams, rivers, and limestone formations.
  • 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_69ca835ad0608190b7c80b292da004f5 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf62ecf081909c055171b78a883a completed April 2, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d282801c548190b6031bdde17f6e14 completed April 5, 2026, 3:40 p.m.
Created at: March 30, 2026, 8:56 p.m.