Triple

T17930137
Position Surface form Disambiguated ID Type / Status
Subject Valley of Orizaba E448309 entity
Predicate drainageBasinOf P411 FINISHED
Object Río Blanco NE NERFINISHED

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: Río Blanco | Statement: [Valley of Orizaba, drainageBasinOf, Río Blanco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Río Blanco
Context triple: [Valley of Orizaba, drainageBasinOf, Río Blanco]
  • A. Río Blanco
    Río Blanco is a mountain river in Argentina’s Mendoza province that contributes glacial and snowmelt waters to the Mendoza River system.
  • B. Río Blanco chosen
    Río Blanco is a municipality and industrial town in the Mexican state of Veracruz, historically known for its textile industry and role in early 20th-century labor movements.
  • C. Río Blanco
    Río Blanco is a river in Colombia associated with the municipality of Choachí in the Andean region.
  • D. Huerfano River
    The Huerfano River is a tributary of the Arkansas River in southern Colorado, known for flowing through Huerfano County and lending its name to the region.
  • E. Río Frío
    Río Frío is a river in Colombia associated with the municipality of Piedecuesta in the Santander Department.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a551e1788190abad0d6a85ec55e1 completed April 19, 2026, 9:50 a.m.
Created at: April 10, 2026, 10:20 a.m.