Triple

T14482579
Position Surface form Disambiguated ID Type / Status
Subject Alto de Jaizkibel E359146 entity
Predicate hasApproachFrom P4067 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: [Alto de Jaizkibel, hasApproachFrom, Hondarribia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hondarribia
Context triple: [Alto de Jaizkibel, hasApproachFrom, 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. Lazkao
    Lazkao is a small town in the Goierri region of Gipuzkoa, in Spain’s Basque Country, known for its Basque cultural traditions and rural surroundings.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924bc548819087a2f693840d7426 completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a3e32fc8190822aeb633b60af6b completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:20 a.m.