Triple

T22119833
Position Surface form Disambiguated ID Type / Status
Subject Sobral de Monte Agraço E546635 entity
Predicate region P40 FINISHED
Object Oeste NE NERFINISHED

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: Oeste | Statement: [Sobral de Monte Agraço, region, Oeste]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oeste
Context triple: [Sobral de Monte Agraço, region, Oeste]
  • A. Oeste chosen
    Oeste is a coastal subregion of central Portugal known for its Atlantic beaches, agricultural production, and historic towns.
  • B. Suroeste
    Suroeste is a district of Santa Cruz de Tenerife known for its largely residential character and mix of urban and semi-rural areas on the island of Tenerife in Spain’s Canary Islands.
  • C. Norte
    Norte is a region in northern Portugal known for its historic cities, rich cultural heritage, and production of Port wine.
  • D. Юго-Западная
    Юго-Западная is a Moscow Metro station on the Sokolnicheskaya Line, serving the southwestern part of the city.
  • E. Comarca del Este
    Comarca del Este is an administrative and geographical comarca in the eastern part of the Community of Madrid, Spain, comprising several municipalities including Loeches.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12950f5348190b204fbc347fd5dab completed April 28, 2026, 9:40 p.m.
Created at: April 16, 2026, 8:31 p.m.