Triple

T22556469
Position Surface form Disambiguated ID Type / Status
Subject Cabril Reservoir E557697 entity
Predicate locatedNear P294 FINISHED
Object Oleiros 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: Oleiros | Statement: [Cabril Reservoir, locatedNear, Oleiros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oleiros
Context triple: [Cabril Reservoir, locatedNear, Oleiros]
  • A. Oleiros chosen
    Oleiros is a municipality in central Portugal known for its rural landscapes, traditional villages, and forested mountain scenery.
  • B. Oleiros
    Oleiros is a coastal municipality in northwestern Spain known for its residential areas, beaches, and proximity to the city of A Coruña in Galicia.
  • C. Ferreiros
    Ferreiros is a municipality in the state of Pernambuco, Brazil, that forms part of the Recife metropolitan area.
  • D. Feteiras
    Feteiras is a civil parish in the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
  • E. Odeleite
    Odeleite is a civil parish in the Algarve region of southern Portugal, known for its rural landscape and proximity to the Guadiana River.
  • 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f7a4a3c81908fc87f48b6dcbbf7 completed April 29, 2026, 1:31 a.m.
Created at: April 16, 2026, 8:52 p.m.