Triple

T23428585
Position Surface form Disambiguated ID Type / Status
Subject Moncloa-Aravaca E563261 entity
Predicate contains P35 FINISHED
Object Valdemarín 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: Valdemarín | Statement: [Moncloa-Aravaca, contains, Valdemarín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valdemarín
Context triple: [Moncloa-Aravaca, contains, Valdemarín]
  • A. Valdemarín chosen
    Valdemarín is an upscale residential neighborhood in western Madrid, known for its green areas, luxury housing, and proximity to major transport routes.
  • B. Olmedo
    Olmedo is a small town in the Gallura region of northern Sardinia, Italy, known for its rural character and traditional Sardinian culture.
  • C. Olmedo
    Olmedo is a Spanish-language surname most notably associated with José Joaquín de Olmedo, an important Ecuadorian poet and statesman.
  • D. Vicálvaro
    Vicálvaro is a district in the southeast of Madrid, Spain, known for its residential character and educational institutions, including a campus of Rey Juan Carlos University.
  • E. Valladares
    Valladares is a Spanish surname historically associated with nobility and notable figures such as colonial administrators and politicians.
  • 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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a54ba29881909945690496f28d65 completed April 29, 2026, 6:29 a.m.
Created at: April 17, 2026, 5:48 p.m.