Triple

T4802356
Position Surface form Disambiguated ID Type / Status
Subject Alto Valle agricultural region E106863 entity
Predicate containsCity P294 FINISHED
Object Cipolletti E138479 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: Cipolletti | Statement: [Alto Valle agricultural region, containsCity, Cipolletti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cipolletti
Context triple: [Alto Valle agricultural region, containsCity, 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. Chilecito
    Chilecito is a city in northwestern Argentina known for its wine production, mining history, and scenic Andean surroundings.
  • C. 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.
  • D. Río Bueno
    Río Bueno is a Chilean city known for its agricultural surroundings and location along the Bueno River in the Los Ríos Region.
  • E. El Chañar
    El Chañar is a small rural settlement located in the Río Hurtado area of Chile’s Coquimbo Region.
  • 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_69bd43f6a1e08190bf0a372bfc336ee5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c42113081908824f3608e65cbff completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5ca47a588190ac15fabfdab8b2da completed March 21, 2026, 8:53 a.m.
Created at: March 20, 2026, 1:23 p.m.