Triple

T22119978
Position Surface form Disambiguated ID Type / Status
Subject Oeste Subregion E546638 entity
Predicate contains P35 FINISHED
Object Bombarral 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: Bombarral | Statement: [Oeste Subregion, contains, Bombarral]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bombarral
Context triple: [Oeste Subregion, contains, Bombarral]
  • A. Bombarral chosen
    Bombarral is a small Portuguese town in the Oeste subregion known for its wine production and agricultural landscape.
  • B. Beinasco
    Beinasco is a municipality in the Metropolitan City of Turin in the Piedmont region of northern Italy.
  • C. Balcarce
    Balcarce is a city in Buenos Aires Province, Argentina, known for its agricultural economy, motorsport heritage, and as the birthplace of racing legend Juan Manuel Fangio.
  • D. Belmonte
    Belmonte is a historic town in Portugal known for its medieval castle and strong Jewish heritage, located in the country's Centro Region.
  • E. Ossorio
    Ossorio is a Spanish-origin surname notably borne by Filipino-American abstract expressionist artist Alfonso Ossorio.
  • 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_69f12951fcd48190841319cd879c15cb completed April 28, 2026, 9:40 p.m.
Created at: April 16, 2026, 8:31 p.m.