Triple

T7455455
Position Surface form Disambiguated ID Type / Status
Subject Capital District of Bogotá E172110 entity
Predicate shortName P43 FINISHED
Object Bogotá, D.C. E1526 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: Bogotá, D.C. | Statement: [Capital District of Bogotá, shortName, Bogotá, D.C.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bogotá, D.C.
Context triple: [Capital District of Bogotá, shortName, Bogotá, D.C.]
  • A. Bogotá chosen
    Bogotá is the high-altitude capital and largest city of Colombia, known as a major political, economic, and cultural center in South America.
  • B. Bogotá and Medellín
    Bogotá and Medellín are Colombia’s two largest and most important cities, serving as major centers of politics, culture, and commerce in the country.
  • C. La Candelaria, Bogotá
    La Candelaria, Bogotá is the historic colonial center of Colombia’s capital city, known for its preserved architecture, cultural institutions, and vibrant political and academic life.
  • D. Sucre, Colombia
    Sucre, Colombia is a department on Colombia’s Caribbean coast known for its agricultural economy, coastal wetlands, and cultural traditions rooted in the broader Caribbean region.
  • E. Medellín
    Medellín is Colombia’s second-largest city, known for its mountainous setting, innovative urban development, and vibrant cultural life.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f3af58dc819093fb0482482779a3 completed March 27, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8ac837f948190895d136cf96951e7 completed March 29, 2026, 4:37 a.m.
Created at: March 27, 2026, 3:15 p.m.