Triple

T13175300
Position Surface form Disambiguated ID Type / Status
Subject Bidasoa E313082 entity
Predicate hasNameInSpanish P12773 FINISHED
Object Bidasoa E313082 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: Bidasoa | Statement: [Bidasoa, hasNameInSpanish, Bidasoa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bidasoa
Context triple: [Bidasoa, hasNameInSpanish, Bidasoa]
  • A. Bidasoa chosen
    Bidasoa is a river in the Basque region that forms part of the natural border between Spain and France before flowing into the Bay of Biscay.
  • B. Beasain
    Beasain is a town in the Basque province of Gipuzkoa in northern Spain, known for its strong industrial base and railway manufacturing heritage.
  • C. 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.
  • D. Abia
    Abia is a state in southeastern Nigeria known for its commercial hub Aba and its role in regional trade and industry.
  • E. Ikurriña
    Ikurriña is the distinctive red, green, and white flag that symbolizes the Basque people and their homeland in northern Spain and southwestern France.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c303e3c819086cf0f0b6d9e61ca completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f71f13a63c81909335c0a45c3f7eca completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:14 p.m.