Triple

T7291106
Position Surface form Disambiguated ID Type / Status
Subject Francisco de Zurbarán E164393 entity
Predicate birthPlace P1 FINISHED
Object Extremadura E42821 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: Extremadura | Statement: [Francisco de Zurbarán, birthPlace, Extremadura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Extremadura
Context triple: [Francisco de Zurbarán, birthPlace, Extremadura]
  • A. Extremadura chosen
    Extremadura is an autonomous community in western Spain known for its historic towns, rural landscapes, and role in the era of Spanish exploration and conquest.
  • B. Estremadura
    Estremadura is a historical coastal province in central Portugal that includes Lisbon and has long been a key political and cultural heartland of the country.
  • C. Cantabria
    Cantabria is an autonomous community in northern Spain known for its rugged coastline along the Bay of Biscay, green mountainous landscapes, and prehistoric cave art such as that found in Altamira.
  • D. Asturias
    Asturias is an autonomous community in northwest Spain known for its rugged coastline, green mountains, cider culture, and well-preserved medieval and pre-Romanesque heritage.
  • E. Aragón
    Aragón is a Mexico City Metro station on Line 5 serving the northeastern area of the city near the Aragón district and its surrounding neighborhoods.
  • 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_69c6887a499881909dd23341399c59d8 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6eb6e8f3881908628b3d41aad70c6 completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84ede6c4c8190ad7ade8ce3bbc35e completed March 28, 2026, 9:57 p.m.
Created at: March 27, 2026, 3 p.m.