Triple

T19852330
Position Surface form Disambiguated ID Type / Status
Subject Pichi Mahuida Department E477028 entity
Predicate administrativeCenter P1474 FINISHED
Object Río Colorado 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 Colorado | Statement: [Pichi Mahuida Department, administrativeCenter, Río Colorado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Río Colorado
Context triple: [Pichi Mahuida Department, administrativeCenter, Río Colorado]
  • A. Río Colorado chosen
    Río Colorado is a town in Argentina’s Río Negro Province known as an agricultural hub and gateway between the Pampas and Patagonian regions.
  • B. Rio Conchos
    Rio Conchos is a major river in northern Mexico that significantly contributes to the flow of the Rio Grande and supports agriculture and communities in the Chihuahuan Desert region.
  • C. 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.
  • D. Río Sonora
    Río Sonora is a river in northwestern Mexico that flows through the state of Sonora before emptying into the Gulf of California.
  • E. Rio Verde Grande
    Rio Verde Grande is a significant river in eastern Brazil that drains parts of Minas Gerais and Bahia before joining the São Francisco River.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65869e1b481908e2a2a2074ff4a6d completed April 20, 2026, 4:46 p.m.
Created at: April 10, 2026, 1:51 p.m.