Triple

T253562
Position Surface form Disambiguated ID Type / Status
Subject Choapa Province E5388 entity
Predicate hasMunicipality P847 FINISHED
Object Illapel E47625 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: Illapel | Statement: [Choapa Province, hasMunicipality, Illapel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Illapel
Context triple: [Choapa Province, hasMunicipality, Illapel]
  • A. Illapel chosen
    Illapel is a city in Chile's Coquimbo Region known as an administrative and commercial center in the Choapa Valley.
  • B. Tocancipá
    Tocancipá is a Colombian municipality in the department of Cundinamarca, known for its industrial activity, motorsport circuit, and proximity to Bogotá.
  • C. Sibaté
    Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
  • D. Fusagasugá
    Fusagasugá is a Colombian city in the department of Cundinamarca, known for its mild climate, flower cultivation, and role as an important commercial and agricultural center near Bogotá.
  • E. Guasca
    Guasca is a small town and municipality in the Cundinamarca Department of Colombia, known for its rural landscapes and proximity to the Chingaza National Natural Park.
  • 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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25d5331b48190b3797fece8e60e20 completed Feb. 28, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3faf665a08190a9ce9fecfd057eae completed March 1, 2026, 8:38 a.m.
Created at: Feb. 28, 2026, 2:55 a.m.