Triple

T7519149
Position Surface form Disambiguated ID Type / Status
Subject Aburrá Valley E177722 entity
Predicate traversedBy P225 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 Valley, traversedBy, Medellín River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medellín River
Context triple: [Aburrá Valley, traversedBy, 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. 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_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5f850c081909e697219071293fc completed March 27, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c87070d8a88190afde21f548d86292 completed March 29, 2026, 12:21 a.m.
Created at: March 27, 2026, 3:46 p.m.