Triple

T15094024
Position Surface form Disambiguated ID Type / Status
Subject Aburrá Metropolitan Area E360491 entity
Predicate river P165 FINISHED
Object Medellín River E474194 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: Medellín River | Statement: [Aburrá Metropolitan Area, river, Medellín River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medellín River
Context triple: [Aburrá Metropolitan Area, river, Medellín River]
  • A. Medellín River chosen
    The Medellín River is an important waterway running through the city of Medellín in Colombia, shaping its valley landscape and urban development.
  • B. Sogamoso River
    The Sogamoso River is an important river in northern Colombia that drains part of the Andean region before joining the Magdalena River.
  • C. Patía River
    The Patía River is a major river in southwestern Colombia that flows through the Andes to empty into the Pacific Ocean near the port city of Tumaco.
  • D. Bogotá River
    The Bogotá River is a major waterway in central Colombia that flows through the Bogotá savanna and the capital city of Bogotá before joining the Magdalena River.
  • E. Quindío River
    The Quindío River is a significant waterway in Colombia’s Coffee Region, flowing through the department of Quindío and supporting its ecosystems, agriculture, and local communities.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0054571a48190a57055c0d6e90f82 completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fff28b707481908611ae8e23de3294 completed May 10, 2026, 2:50 a.m.
Created at: April 10, 2026, 3:04 a.m.