Triple

T8979243
Position Surface form Disambiguated ID Type / Status
Subject Cauca River E214478 entity
Predicate flowsThrough P225 FINISHED
Object Sucre Department E135298 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: Sucre Department | Statement: [Cauca River, flowsThrough, Sucre Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sucre Department
Context triple: [Cauca River, flowsThrough, Sucre Department]
  • A. Sucre Department chosen
    Sucre Department is an administrative region in northern Colombia, known for its Caribbean coastline, agricultural economy, and capital city Sincelejo.
  • B. Potosí Department
    Potosí Department is a high-altitude region in southwestern Bolivia known for its historic silver mining city of Potosí and vast Andean landscapes.
  • C. La Paz Department
    La Paz Department is a highland administrative region in western Bolivia that includes the city of La Paz and encompasses part of the Lake Titicaca basin in the Andes.
  • D. La Paz Department
    La Paz Department is an administrative region in central El Salvador that includes part of the country’s Pacific coastline and hosts its main international airport.
  • E. Bolívar Department
    Bolívar Department is an administrative region in northern Colombia on the Caribbean coast, known for encompassing the historic city of Cartagena and a mix of coastal, riverine, and inland landscapes.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67a4b3e88190b778a9b5589cab6d completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69d190b5bb70819082b8eeb18bd5f1f6 completed April 4, 2026, 10:29 p.m.
Created at: March 30, 2026, 7:03 p.m.