Triple

T7009857
Position Surface form Disambiguated ID Type / Status
Subject Bidasoa River E162552 entity
Predicate passesThrough P225 FINISHED
Object Hondarribia E644404 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: Hondarribia | Statement: [Bidasoa River, passesThrough, Hondarribia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hondarribia
Context triple: [Bidasoa River, passesThrough, Hondarribia]
  • A. Hondarribia chosen
    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.
  • B. Zarautz
    Zarautz is a coastal town in Spain’s Basque Country, known for its long sandy beach and strong surfing culture.
  • C. Plentzia
    Plentzia is a coastal town and popular beachside resort in the province of Biscay in Spain’s Basque Country.
  • D. Santurtzi
    Santurtzi is a coastal town and municipality in the Greater Bilbao area of northern Spain, known for its fishing port and maritime traditions.
  • E. Sestao
    Sestao is an industrial town and municipality in the Basque province of Biscay in northern Spain, situated along the Nervión River near Bilbao.
  • 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_69c6885928148190ae31909fbb5e9849 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc38039c8190ab420d62bb11b4d9 completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b8b9a0e881909ee8f92ecb6fef66 completed March 28, 2026, 11:17 a.m.
Created at: March 27, 2026, 2:34 p.m.