Triple

T12477033
Position Surface form Disambiguated ID Type / Status
Subject Cosquín E298200 entity
Predicate hasRiver P165 FINISHED
Object Cosquín River E445942 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: Cosquín River | Statement: [Cosquín, hasRiver, Cosquín River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cosquín River
Context triple: [Cosquín, hasRiver, Cosquín River]
  • A. Boquerón River
    The Boquerón River is a waterway in Panama that serves as one of the tributaries feeding the larger Chagres River system.
  • B. Suquía River chosen
    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. Los Palacios River
    Los Palacios River is a watercourse that flows through and gives its name to the town of Los Palacios.
  • D. Bermejo River
    The Bermejo River is a major South American waterway flowing through Bolivia and Argentina before joining the Paraguay River and ultimately contributing to the Río de la Plata basin.
  • E. Juncal River
    The Juncal River is a mountain river in central Chile that forms one of the principal headwaters of the Aconcagua River, draining glacial and Andean snowmelt.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dcc24e48190ae9c367a03f659f4 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff1330527481908d518093debc9ad1 completed May 9, 2026, 10:57 a.m.
Created at: April 8, 2026, 9:56 p.m.