Triple

T15232889
Position Surface form Disambiguated ID Type / Status
Subject Province of Badajoz E364048 entity
Predicate partOf P40 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: [Province of Badajoz, partOf, Extremadura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Extremadura
Context triple: [Province of Badajoz, partOf, 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007d7237081908dc17900ee66b64f completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff01de4ccc8190aeac4a6c1ffc08d9 completed May 9, 2026, 9:43 a.m.
Created at: April 10, 2026, 3:12 a.m.