Triple

T9139092
Position Surface form Disambiguated ID Type / Status
Subject Glorieta de la Diana Cazadora E219276 entity
Predicate locatedNear P294 FINISHED
Object Zona Rosa 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 | Statement: [Glorieta de la Diana Cazadora, locatedNear, Zona Rosa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zona Rosa
Context triple: [Glorieta de la Diana Cazadora, locatedNear, Zona Rosa]
  • 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. 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. Vedado
    Vedado is a prominent residential and cultural neighborhood in Havana, Cuba, known for its modernist architecture, nightlife, and proximity to the Malecón waterfront.
  • D. Barrio del Carmen
    Barrio del Carmen is a historic and lively neighborhood in Valencia, Spain, known for its medieval streets, vibrant nightlife, and rich cultural heritage.
  • E. Ciudad Lineal district
    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.
  • 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_69ca83e012288190a5771058adbaabd2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8f129c08190b6f053984cb7363f completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0480458348190b0b87f7a66d85b87 completed April 3, 2026, 11:06 p.m.
Created at: March 30, 2026, 7:19 p.m.