Triple

T4363958
Position Surface form Disambiguated ID Type / Status
Subject Osorno E98726 entity
Predicate isCapitalOf P204 FINISHED
Object Osorno Province E124423 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: Osorno Province | Statement: [Osorno, isCapitalOf, Osorno Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osorno Province
Context triple: [Osorno, isCapitalOf, Osorno Province]
  • A. Osorno Province chosen
    Osorno Province is an administrative division in southern Chile known for its agricultural activity, lakes, and proximity to the Andes and volcanoes.
  • B. Melgar Province
    Melgar Province is an administrative division in southeastern Peru known for its high Andean landscapes and location within the Puno Region.
  • C. Muñecas Province
    Muñecas Province is an administrative subdivision in the northern part of Bolivia’s La Paz Department, known for its rural Andean communities and mountainous terrain.
  • D. Sandia Province
    Sandia Province is an administrative subdivision in southeastern Peru, located within the high Andean and Amazonian areas of the Puno Region.
  • E. Almeidas Province
    Almeidas Province is an administrative subdivision of the Cundinamarca Department in central Colombia, comprising several municipalities in the Andean highlands.
  • 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_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351e70a748190af6f1b709a0e75e6 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbc925d881909fac944bc7ce5407 completed March 14, 2026, 10:06 p.m.
Created at: March 12, 2026, 11:16 p.m.