Triple

T9638200
Position Surface form Disambiguated ID Type / Status
Subject Cauca Department E232989 entity
Predicate hasRiver P165 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: [Cauca Department, hasRiver, Cauca River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cauca River
Context triple: [Cauca Department, hasRiver, 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. Soacha River
    The Soacha River is a watercourse in central Colombia that flows through the municipality of Soacha near Bogotá, contributing to the region’s drainage and local ecosystem.
  • 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_69ca848a5a908190aad251f4137b0c3a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b51b08081908e30744607b28953 completed April 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d190eaac248190a19be2ceb333372f completed April 4, 2026, 10:30 p.m.
Created at: March 30, 2026, 8:11 p.m.