Triple

T19247053
Position Surface form Disambiguated ID Type / Status
Subject Comarca of Cuenca del Guadarrama E481285 entity
Predicate hasMajorUrbanCenter P316 FINISHED
Object Torrelodones 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: Torrelodones | Statement: [Comarca of Cuenca del Guadarrama, hasMajorUrbanCenter, Torrelodones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Torrelodones
Context triple: [Comarca of Cuenca del Guadarrama, hasMajorUrbanCenter, Torrelodones]
  • A. Torrelodones chosen
    Torrelodones is a municipality in the Community of Madrid, Spain, known as a residential town northwest of the capital with a mix of urban areas and natural surroundings.
  • B. Torrelavit
    Torrelavit is a small wine-producing municipality in Catalonia, Spain, situated in the Alt Penedès comarca known for its vineyards and cava.
  • C. Torredelcampo
    Torredelcampo is a municipality in southern Spain’s Andalusia region, situated near the city of Jaén and known for its olive groves and agricultural economy.
  • D. Navacerrada
    Navacerrada is a mountain village and popular outdoor recreation destination in the Sierra de Guadarrama range near Madrid, Spain.
  • E. Torredembarra
    Torredembarra is a coastal town in Catalonia, Spain, known for its Mediterranean beaches, historic old quarter, and well-preserved lighthouse.
  • 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.