Triple

T21612224
Position Surface form Disambiguated ID Type / Status
Subject Arganzuela E533339 entity
Predicate adjacentTo P224 FINISHED
Object Latina 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: Latina district | Statement: [Arganzuela, adjacentTo, Latina district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Latina district
Context triple: [Arganzuela, adjacentTo, Latina district]
  • A. Latina district chosen
    Latina is a large, traditionally working-class district in the southwest of Madrid, Spain, known for its residential neighborhoods, local markets, and vibrant community life.
  • 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. La Raza neighborhood
    La Raza neighborhood is a predominantly Latino urban community known for its strong cultural identity, local activism, and vibrant street life.
  • D. La Pintada District
    La Pintada District is an administrative district in central Panama known for its rural communities, traditional crafts, and location within Coclé Province.
  • E. Magdalena Contreras borough
    Magdalena Contreras borough is one of Mexico City’s 16 boroughs, known for its largely residential character, green areas, and location in the city’s southwestern part.
  • 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.