Triple

T1509568
Position Surface form Disambiguated ID Type / Status
Subject Malecón, Havana E33982 entity
Predicate passesThrough P225 FINISHED
Object Vedado E44710 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: Vedado | Statement: [Malecón, Havana, passesThrough, Vedado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vedado
Context triple: [Malecón, Havana, passesThrough, Vedado]
  • A. Vedado chosen
    Vedado is a prominent residential and cultural neighborhood in Havana, Cuba, known for its modernist architecture, nightlife, and proximity to the Malecón waterfront.
  • B. Centro Habana
    Centro Habana is a densely populated central district of Havana, Cuba, known for its historic architecture, vibrant street life, and proximity to many of the city’s major cultural landmarks.
  • C. Miramar neighborhood
    Miramar neighborhood is a historic and upscale district in San Juan, Puerto Rico, known for its residential character, cultural venues, and proximity to the Condado Lagoon.
  • D. Habana Vieja
    Habana Vieja is the historic old quarter of Havana, Cuba, renowned for its colonial architecture, cobblestone streets, and vibrant cultural life.
  • E. Zona Rosa
    Zona Rosa is a lively commercial and nightlife district in Mexico City known for its shopping, restaurants, bars, and LGBTQ+ scene.
  • 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_69a885f352a4819099b24ff15489dede completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a8891e9da881909d0b12f1bc05863f completed March 4, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69adbf3d408881909688667be4a32931 completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:24 p.m.