Triple

T12779933
Position Surface form Disambiguated ID Type / Status
Subject Nechí River E305479 entity
Predicate mouthLocatedIn P417 FINISHED
Object Cauca River E214478 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: Cauca River | Statement: [Nechí River, mouthLocatedIn, Cauca River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cauca River
Context triple: [Nechí River, mouthLocatedIn, Cauca River]
  • A. Cauca River chosen
    The Cauca River is one of Colombia’s principal rivers, flowing northward through the Andean region and serving as a major axis for agriculture, hydroelectric power, and settlement.
  • B. Cauca
    Cauca is a department in southwestern Colombia known for its diverse geography, indigenous communities, and cultural richness.
  • C. Cauca
    Cauca was an ancient Roman town in Hispania, located in what is now Coca in the province of Segovia, Spain.
  • D. Sogamoso River
    The Sogamoso River is an important river in northern Colombia that drains part of the Andean region before joining the Magdalena River.
  • E. Río Bojacá
    Río Bojacá is a river in central Colombia that flows through the department of Cundinamarca and contributes to the Bogotá River basin.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e5a5680819095dcd491486d23e7 completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ebc75bc81908bad7fb06af674a9 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:29 p.m.