Triple

T15743104
Position Surface form Disambiguated ID Type / Status
Subject UC3M E381647 entity
Predicate hasCampus P116 FINISHED
Object Colmenarejo E481290 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: Colmenarejo | Statement: [UC3M, hasCampus, Colmenarejo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colmenarejo
Context triple: [UC3M, hasCampus, Colmenarejo]
  • A. Colmenarejo chosen
    Colmenarejo is a small municipality in the Community of Madrid, Spain, known for its rural character and proximity to the Sierra de Guadarrama.
  • B. Rascafría
    Rascafría is a mountain village and municipality in the Sierra de Guadarrama of central Spain, known for its natural landscapes and the nearby Monastery of El Paular.
  • C. Colmenar de Oreja
    Colmenar de Oreja is a historic town in the Community of Madrid, Spain, known for its traditional architecture, stone quarries, and use as a filming location for classic cinema.
  • D. Colmenar Viejo
    Colmenar Viejo is a historic town and municipality in central Spain known for its traditional architecture, livestock fairs, and location in the northern area of the Madrid region near the Sierra de Guadarrama.
  • E. Almendralejo
    Almendralejo is a town in the Spanish region of Extremadura known for its wine production and agricultural economy.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd97d6c8190b2fa6ca422bfe512 completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe650c8481909d1c1661b20eac73 completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:46 a.m.