Triple

T16710293
Position Surface form Disambiguated ID Type / Status
Subject Chapinero E406089 entity
Predicate hasPart P35 FINISHED
Object Zona T E1229776 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 T | Statement: [Chapinero, hasPart, Zona T]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zona T
Context triple: [Chapinero, hasPart, Zona T]
  • A. Zona
    Zona is the former name of the city now known as Davie in Broward County, Florida.
  • B. Zona G chosen
    Zona G is an upscale gastronomic district in Bogotá’s Chapinero locality, known for its high-end restaurants, cafés, and vibrant culinary scene.
  • C. Zona A
    Zona A was the Allied-administered western sector of the Free Territory of Trieste, encompassing the city of Trieste and surrounding areas after World War II.
  • D. The Zone
    The Zone was the lively amusement and entertainment district of the Panama–Pacific International Exposition, featuring rides, shows, and attractions for fairgoers.
  • E. The Zone
    The Zone is a mysterious, forbidden area in Andrei Tarkovsky’s film "Stalker," rumored to grant a person’s deepest desires while embodying profound psychological and philosophical uncertainty.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3865186b48190bb45a761f5cf1a83 completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d3adef081908692a4a86d7a0779 completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:20 a.m.