Triple

T16710295
Position Surface form Disambiguated ID Type / Status
Subject Chapinero E406089 entity
Predicate hasPart P35 FINISHED
Object Chapinero Central E408796 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: Chapinero Central | Statement: [Chapinero, hasPart, Chapinero Central]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chapinero Central
Context triple: [Chapinero, hasPart, Chapinero Central]
  • A. Chapinero sector chosen
    The Chapinero sector is a prominent and upscale district in Bogotá known for its residential neighborhoods, commercial areas, nightlife, and cultural venues.
  • B. Polanco
    Polanco is a rural municipality in the province of Zamboanga del Norte in the Philippines, known for its agricultural economy and small-town community life.
  • C. Polanco
    Polanco is a surname most notably associated with former Major League Baseball infielder Plácido Polanco.
  • D. Usaquén central square
    Usaquén central square is a historic plaza in northern Bogotá known for its colonial architecture, lively restaurants, and popular weekend flea market.
  • E. 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.
  • 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.