Triple

T1072148
Position Surface form Disambiguated ID Type / Status
Subject Bariloche E23352 entity
Predicate administrativeDivision P747 FINISHED
Object Departamento Bariloche E23352 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: Departamento Bariloche | Statement: [Bariloche, administrativeDivision, Departamento Bariloche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Departamento Bariloche
Context triple: [Bariloche, administrativeDivision, Departamento Bariloche]
  • A. Bariloche chosen
    Bariloche is a popular Argentine city in the Andean region known for its lakes, mountains, skiing, and Swiss-style alpine architecture.
  • B. Vallorcine
    Vallorcine is a small alpine village and ski resort in the French Alps, known for its scenic setting close to the Mont Blanc massif and its access to hiking and winter sports.
  • C. Posadas
    Posadas is the capital city of Misiones Province in northeastern Argentina, located on the border with Paraguay.
  • D. La Calera
    La Calera is a Colombian town and municipality in the Andean department of Cundinamarca, known for its mountainous landscapes and proximity to Bogotá.
  • E. Roca Sur
    Roca Sur is a small, remote rocky islet that forms part of Chile’s isolated Desventuradas Islands in the southeastern Pacific Ocean.
  • 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_69a493ee1f908190992b5f0d1b04459b completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b9296c5c8190a3060fbfdf24f029 completed March 1, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42a70ab88190ba0f0a62b19af871 completed March 7, 2026, 3:22 p.m.
Created at: March 1, 2026, 7:42 p.m.