Triple

T1957251
Position Surface form Disambiguated ID Type / Status
Subject Basque E42297 entity
Predicate hasDialect P4251 FINISHED
Object Gipuzkoan E205362 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: Gipuzkoan | Statement: [Basque, hasDialect, Gipuzkoan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gipuzkoan
Context triple: [Basque, hasDialect, Gipuzkoan]
  • A. Gipuzkoa chosen
    Gipuzkoa is a coastal province in northern Spain known for its Basque culture, rugged landscapes, and the city of San Sebastián.
  • B. Álava
    Álava is a province in northern Spain known for its capital Vitoria-Gasteiz and its role as one of the three historical territories of the Basque Country.
  • C. Navarre
    Navarre is an autonomous community and historical region in northern Spain known for its diverse landscapes, rich cultural traditions, and capital city of Pamplona.
  • D. Basque Country
    The Basque Country is an autonomous region in northern Spain and southwestern France known for its distinct Basque language, culture, and strong regional identity.
  • E. Biscay
    Biscay is a coastal province in northern Spain, known for its capital Bilbao and its role as a historic and cultural center of the Basque Country.
  • 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb37c60148190823f6a2a73b949e8 completed March 7, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5176d2f08190b3ebc53ea1def9be completed March 9, 2026, 4:49 a.m.
Created at: March 4, 2026, 7:36 p.m.