Triple

T18390201
Position Surface form Disambiguated ID Type / Status
Subject Boyacá River valley E449703 entity
Predicate nearbyMunicipality P4647 FINISHED
Object Samacá NE NERFINISHED

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: Samacá | Statement: [Boyacá River valley, nearbyMunicipality, Samacá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samacá
Context triple: [Boyacá River valley, nearbyMunicipality, Samacá]
  • A. Samacá chosen
    Samacá is a municipality in the Boyacá Department of central Colombia, known for its agricultural activities and proximity to historic sites.
  • B. Cajeme
    Cajeme is a major municipality and agricultural and industrial center in the southern part of the Mexican state of Sonora, best known for its main city Ciudad Obregón.
  • C. Saamáka
    Saamáka is a creole language spoken primarily by the Saramaka Maroon community in Suriname, known for its blend of English, Portuguese, and West African linguistic influences.
  • D. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • E. Piripiri
    Piripiri is a municipality in the Brazilian state of Piauí, known for its regional commerce and proximity to natural attractions such as the Sete Cidades National Park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e518416bc48190a20fa66c43d545d9 completed April 19, 2026, 6 p.m.
Created at: April 10, 2026, 10:46 a.m.