Triple

T22320538
Position Surface form Disambiguated ID Type / Status
Subject San Blas-Canillejas E551770 entity
Predicate borderedBy P224 FINISHED
Object Ciudad Lineal district 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: Ciudad Lineal district | Statement: [San Blas-Canillejas, borderedBy, Ciudad Lineal district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ciudad Lineal district
Context triple: [San Blas-Canillejas, borderedBy, Ciudad Lineal district]
  • A. Ciudad Lineal district chosen
    Ciudad Lineal is a largely residential district in the eastern part of Madrid, Spain, known for its linear urban layout, diverse neighborhoods, and strong public transport connections.
  • B. Luz district
    Luz district is a historic central neighborhood in São Paulo, Brazil, known for its major cultural institutions, transport hub, and architectural landmarks.
  • C. Ingenio District
    Ingenio District is an administrative district located within Huancayo Province in Peru’s central Andean region.
  • D. Retiro district
    Retiro district is a central district of Madrid, Spain, known for encompassing the famous El Retiro Park and several historic neighborhoods.
  • E. Retiro district
    Retiro district is a central neighborhood of Buenos Aires known for its major train station, historic plazas, upscale hotels, and prominent monuments.
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15763bf0881908d859f85b4a6ce28 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:42 p.m.