Triple

T9434115
Position Surface form Disambiguated ID Type / Status
Subject Socorro E227457 entity
Predicate locatedNear P294 FINISHED
Object Suárez River E287240 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: Suárez River | Statement: [Socorro, locatedNear, Suárez River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suárez River
Context triple: [Socorro, locatedNear, Suárez River]
  • A. Suárez River chosen
    The Suárez River is a significant waterway in northeastern Colombia that flows through the Santander region and contributes to the Magdalena River basin.
  • B. Suquía River
    The Suquía River is a major watercourse in central Argentina that flows through the city of Córdoba and plays a key role in its landscape and water supply.
  • C. Quevedo River
    The Quevedo River is a significant waterway in western Ecuador that flows through agricultural lowlands and supports the economy and ecosystems of Los Ríos Province.
  • D. Aguanaval River
    The Aguanaval River is an important but largely intermittent river in north-central Mexico that drains the arid Laguna Region of Coahuila and Durango.
  • E. Losada River
    The Losada River is a waterway in Colombia that flows through the biodiverse Sierra de la Macarena region, contributing to its rich ecosystems and unique 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7e62d53c81908055e0967e6cd54d completed April 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3734e5e688190bbfa472547ef65e8 completed April 18, 2026, 12:04 p.m.
Created at: March 30, 2026, 7:49 p.m.