Triple

T11903440
Position Surface form Disambiguated ID Type / Status
Subject Cristóbal Balenciaga E283214 entity
Predicate birthPlace P1 FINISHED
Object Getaria E97344 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: Getaria | Statement: [Cristóbal Balenciaga, birthPlace, Getaria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Getaria
Context triple: [Cristóbal Balenciaga, birthPlace, Getaria]
  • A. Getaria chosen
    Getaria is a coastal town in Spain’s Basque Country, known as the birthplace of explorer Juan Sebastián Elcano and for its fishing heritage and txakoli wine.
  • B. Erakor
    Erakor is a small island and settlement near Efate in Vanuatu, known for its lagoon setting and traditional village life.
  • C. Gotarrendura
    Gotarrendura is a small village in the province of Ávila, Spain, best known as the birthplace of the mystic and reformer Saint Teresa of Ávila.
  • D. Agutaynen
    Agutaynen is an Austronesian language spoken by the Agutaynen people in the Philippines, primarily in the province of Palawan.
  • E. Itziar
    Itziar is a feminine given name of Basque origin, commonly used in Spain.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd1792648190853f15fbf217eebd completed April 10, 2026, 11:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4183d29b081908cfbf4d91a365681 completed May 1, 2026, 3:04 a.m.
Created at: April 8, 2026, 9:44 p.m.