Triple

T9128941
Position Surface form Disambiguated ID Type / Status
Subject Nuna E219033 entity
Predicate alternativeTo P5887 FINISHED
Object name "Colombia" E12035 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: name "Colombia" | Statement: [Nuna, alternativeTo, name "Colombia"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: name "Colombia"
Context triple: [Nuna, alternativeTo, name "Colombia"]
  • A. Colombia
    Colombia is a station on Madrid's Metro network, serving Line 8 and acting as an important interchange point in the city's public transportation system.
  • B. Colombia chosen
    Colombia is a transcontinental country in northern South America, known for its diverse landscapes from Andes mountains to Amazon rainforest, rich cultural heritage, and major cities like Bogotá and Medellín.
  • C. Chinchiná
    Chinchiná is a Colombian town and municipality known for its coffee production and location in the central Andean region.
  • D. Columbio
    Columbio is a rural municipality in the province of Sultan Kudarat in the Philippines, known for its agricultural economy and multicultural indigenous communities.
  • E. Turbo, Colombia
    Turbo is a port town in Colombia’s Antioquia Department on the Caribbean coast, known as a key transit point near the Darién Gap where the Pan-American Highway remains discontinuous.
  • 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_69ca83debfc0819095800583e97ab10f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8cc85b081908ee80db0e3b7df15 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d030a934988190976aa359f9f902c3 completed April 3, 2026, 9:27 p.m.
Created at: March 30, 2026, 7:18 p.m.