Triple

T19247031
Position Surface form Disambiguated ID Type / Status
Subject Comarca of Cuenca del Guadarrama E481285 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Brunete 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: Brunete | Statement: [Comarca of Cuenca del Guadarrama, containsAdministrativeTerritorialEntity, Brunete]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brunete
Context triple: [Comarca of Cuenca del Guadarrama, containsAdministrativeTerritorialEntity, 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. Esquipulas
    Esquipulas is a Guatemalan town and major Catholic pilgrimage center renowned for its venerated Black Christ statue and the Basilica of Esquipulas.
  • D. 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.
  • E. 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.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb2daacc8190b8af99dee51f238d completed April 20, 2026, 10:08 a.m.
Created at: April 10, 2026, 1:27 p.m.