Triple

T15481667
Position Surface form Disambiguated ID Type / Status
Subject Reforma Avenue E376932 entity
Predicate hasPart P35 FINISHED
Object Zona Rosa area E44382 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: Zona Rosa area | Statement: [Reforma Avenue, hasPart, Zona Rosa area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zona Rosa area
Context triple: [Reforma Avenue, hasPart, Zona Rosa area]
  • A. Zona Rosa chosen
    Zona Rosa is a lively commercial and nightlife district in Mexico City known for its shopping, restaurants, bars, and LGBTQ+ scene.
  • B. Bellas Artes area
    The Bellas Artes area is a prominent cultural and historic district in central Mexico City, known for its iconic Palacio de Bellas Artes and surrounding museums, theaters, and public spaces.
  • C. La Ronda neighborhood
    La Ronda neighborhood is a historic, colonial-era district in Quito, Ecuador, known for its narrow cobblestone streets, traditional architecture, and vibrant arts and nightlife scene.
  • D. Malasaña area
    Malasaña area is a central Madrid neighborhood known for its vibrant nightlife, alternative culture, and historic role in the Movida Madrileña countercultural movement.
  • E. Luz district
    Luz district is a historic central neighborhood in São Paulo, Brazil, known for its major cultural institutions, transport hub, and architectural landmarks.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8cb4388190a3b4c92c3bb4ad4f completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d0d6ef0819091623de2888a7101 completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:34 a.m.