Triple

T9167808
Position Surface form Disambiguated ID Type / Status
Subject Choachí E220006 entity
Predicate sharesBorderWith P224 FINISHED
Object Cáqueza E31999 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: Cáqueza | Statement: [Choachí, sharesBorderWith, Cáqueza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cáqueza
Context triple: [Choachí, sharesBorderWith, Cáqueza]
  • A. Cáqueza chosen
    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.
  • B. Cauqui
    Cauqui is an indigenous Aymaran language variety spoken by a small community in the Andean region of Peru.
  • C. Pasochoa
    Pasochoa is an extinct volcanic mountain in Ecuador known for its lush cloud forests and rich biodiversity within a protected ecological reserve.
  • D. Cuitiva
    Cuitiva is a small town in the Boyacá Department of Colombia, located in the Andean highlands near Lake Tota and known for its rural landscapes and cool climate.
  • E. Rauco
    Rauco is a rural municipality and commune in central Chile’s Maule Region, known for its agricultural activities and proximity to the city of Curicó.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaadfb50881909b9127f92e4b3e21 completed April 1, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c077f008190ba1bcd82b3fe9a1d completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:22 p.m.