Triple

T7186257
Position Surface form Disambiguated ID Type / Status
Subject Cota E167578 entity
Predicate capitalOf P204 FINISHED
Object Cota Municipality E646967 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: Cota Municipality | Statement: [Cota, capitalOf, Cota Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cota Municipality
Context triple: [Cota, capitalOf, Cota Municipality]
  • A. Cota Municipality chosen
    Cota Municipality is a town and municipality in the Cundinamarca Department of Colombia, located near Bogotá on the Bogotá savanna.
  • B. Cueto Municipality
    Cueto Municipality is an administrative division in Holguín Province, Cuba, known for encompassing the rural village of Birán, the birthplace of Fidel Castro.
  • C. Cáqueza Municipality
    Cáqueza Municipality is an administrative division in the Cundinamarca Department of Colombia, located in the Andean region east of Bogotá.
  • D. Benítez Municipality
    Benítez Municipality is an administrative division located within Sucre State in northeastern Venezuela.
  • E. Boticas Municipality
    Boticas Municipality is a local administrative region in northern Portugal known for its rural landscapes, traditional villages, and thermal springs.
  • 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_69c6888b5248819090499a884ee3ec39 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8e0f2f48190a4ddf8637f556934 completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf903f1c819098de137c8c43ca34 completed March 28, 2026, 11:46 a.m.
Created at: March 27, 2026, 2:49 p.m.