Triple

T9022606
Position Surface form Disambiguated ID Type / Status
Subject Orduña E215763 entity
Predicate hasSpanishName P12773 FINISHED
Object Orduña E215763 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: Orduña | Statement: [Orduña, hasSpanishName, Orduña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orduña
Context triple: [Orduña, hasSpanishName, Orduña]
  • A. Orduña chosen
    Orduña is a historic town in the Basque Country of northern Spain, known for its medieval heritage and strategic location along traditional trade routes.
  • B. Hondarribia
    Hondarribia is a historic coastal town in Spain’s Basque Country, known for its well-preserved old quarter, fishing port, and location on the border with France.
  • C. Pedreña
    Pedreña is a small coastal village in Cantabria, northern Spain, best known as the hometown of legendary golfer Seve Ballesteros.
  • D. Fuentealbilla
    Fuentealbilla is a small municipality in the province of Albacete, Spain, best known as the hometown of footballer Andrés Iniesta.
  • E. Olañeta
    Olañeta is a Spanish Basque surname most notably associated with Pedro Antonio Olañeta, a royalist military leader during the Spanish American wars of independence.
  • 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a454b808190af6bb48f7a4da917 completed April 1, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffda9697c81908a1a9e447519ce05 completed April 3, 2026, 5:49 p.m.
Created at: March 30, 2026, 7:07 p.m.