Triple

T9108470
Position Surface form Disambiguated ID Type / Status
Subject Euskaltzaindia E218535 entity
Predicate hasOffice P1268 FINISHED
Object Vitoria-Gasteiz E213873 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: Vitoria-Gasteiz | Statement: [Euskaltzaindia, hasOffice, Vitoria-Gasteiz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vitoria-Gasteiz
Context triple: [Euskaltzaindia, hasOffice, Vitoria-Gasteiz]
  • A. Vitoria-Gasteiz chosen
    Vitoria-Gasteiz is a historic city in northern Spain that serves as the administrative capital of the Basque Autonomous Community and is known for its well-preserved medieval quarter and extensive green spaces.
  • B. Bilbao
    Bilbao is a station on Madrid's Metro network, serving Line 1 and located in the central Chamberí district.
  • C. Bilbao
    Bilbao is a major port city in northern Spain renowned for its industrial heritage, cultural institutions like the Guggenheim Museum, and role as an economic hub of the Basque Country.
  • D. Zaragoza
    Zaragoza is a historic city in northeastern Spain, known for landmarks like the Basilica del Pilar and its role as a major cultural and economic center in the Aragon region.
  • E. Zaragoza
    Zaragoza is a metro station on Mexico City’s Line 1 that serves as a key eastern access point to the city’s rapid transit network.
  • 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_69ca83db7448819090d0a5de842ef2ac completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca57543448190829853c31e05dd8c completed April 1, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05bf002c081909bb82bb765bbf4b1 completed April 4, 2026, 12:31 a.m.
Created at: March 30, 2026, 7:16 p.m.