Triple

T11104266
Position Surface form Disambiguated ID Type / Status
Subject Zarautz E262586 entity
Predicate belongsToComarca P33339 FINISHED
Object Urola Kosta E905483 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: Urola Kosta | Statement: [Zarautz, belongsToComarca, Urola Kosta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urola Kosta
Context triple: [Zarautz, belongsToComarca, Urola Kosta]
  • A. Costa Urola chosen
    Costa Urola is a coastal comarca in the Basque Country of northern Spain, known for its beaches, fishing towns, and tourism centered around the Bay of Biscay.
  • B. Antón
    Antón is a town and district capital in central Panama known for its agricultural economy and proximity to natural attractions such as mountains and hot springs.
  • C. Vigo Rendena
    Vigo Rendena is a small village in the Trentino region of northern Italy, situated within the Val Rendena alpine valley.
  • D. de Ugalde
    De Ugalde is a Spanish Basque-origin surname historically associated with military and colonial figures such as Juan de Ugalde in New Spain.
  • E. Echeandía
    Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a2d33948190ac29d174694a78e5 completed April 9, 2026, 12:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441c3b1788190868fae6919544149 completed April 19, 2026, 2:45 a.m.
Created at: April 8, 2026, 9:27 p.m.