Triple

T16257875
Position Surface form Disambiguated ID Type / Status
Subject Villanueva de la Cañada E394676 entity
Predicate hasNearbyMunicipality P4647 FINISHED
Object Brunete E320587 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: Brunete | Statement: [Villanueva de la Cañada, hasNearbyMunicipality, Brunete]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brunete
Context triple: [Villanueva de la Cañada, hasNearbyMunicipality, Brunete]
  • A. Brunete chosen
    Brunete is a town in the Community of Madrid, Spain, historically notable as a major battleground of the Spanish Civil War.
  • B. Mieres
    Mieres is a town in the Asturias region of northern Spain known for its industrial and mining heritage and as a local educational hub.
  • C. Ortigueira
    Ortigueira is a coastal town and municipality in the province of A Coruña, Galicia, Spain, known for its scenic estuary landscapes and its international folk music festival.
  • D. Risca
    Risca is a town in south Wales situated in the county borough of Caerphilly, near Newport, with a history rooted in coal mining and industry.
  • E. Lavezares
    Lavezares is a coastal municipality in the province of Northern Samar in the Philippines, known for its fishing communities and island landscapes.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c1fa208190995feaeba766b45f completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000eebcfe481909822290d3a7b361c completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.