Triple

T21612223
Position Surface form Disambiguated ID Type / Status
Subject Arganzuela E533339 entity
Predicate adjacentTo P224 FINISHED
Object Carabanchel 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: Carabanchel district | Statement: [Arganzuela, adjacentTo, Carabanchel district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carabanchel district
Context triple: [Arganzuela, adjacentTo, Carabanchel district]
  • A. Villaverde district
    Villaverde district is a southern administrative district of Madrid, Spain, known for its working-class neighborhoods and significant industrial and residential areas.
  • B. Carabanchel chosen
    Carabanchel is a district in southwestern Madrid, Spain, known for its residential neighborhoods, historical prison site, and integration into the city's metro network.
  • C. Puente de Vallecas district
    Puente de Vallecas district is a densely populated, traditionally working-class area in the southeast of Madrid known for its strong local identity and vibrant community life.
  • D. La Molina district
    La Molina district is an affluent residential and educational district located in the eastern part of Lima, Peru.
  • E. Chamartín
    Chamartín is a district in northern Madrid, Spain, known for its major transport hub and as the home area of Real Madrid’s Santiago Bernabéu Stadium.
  • 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_69e0c46411108190bba0d4176dffc9f3 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef3ba79424819094e9ee93c4bbcc0b completed April 27, 2026, 10:34 a.m.
Created at: April 16, 2026, 6:33 p.m.