Triple

T19852201
Position Surface form Disambiguated ID Type / Status
Subject Cinco Saltos E477024 entity
Predicate locatedNear P294 FINISHED
Object Cipolletti 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: Cipolletti | Statement: [Cinco Saltos, locatedNear, Cipolletti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cipolletti
Context triple: [Cinco Saltos, locatedNear, Cipolletti]
  • A. Cipolletti chosen
    Cipolletti is a city in Argentina’s Patagonia region, known as an important agricultural and service center in the Alto Valle of the Río Negro.
  • B. Petrohué
    Petrohué is a small Chilean locality in the Los Lagos Region, known as a gateway to the scenic Todos los Santos Lake and the nearby Petrohué Waterfalls in Vicente Pérez Rosales National Park.
  • C. Chilecito
    Chilecito is a city in northwestern Argentina known for its wine production, mining history, and scenic Andean surroundings.
  • D. Melipeuco
    Melipeuco is a small Andean foothill town and commune in southern Chile known for its proximity to Conguillío National Park and the Llaima volcano.
  • E. Río Bueno
    Río Bueno is a Chilean city known for its agricultural surroundings and location along the Bueno River in the Los Ríos Region.
  • 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.