Triple

T17668075
Position Surface form Disambiguated ID Type / Status
Subject Río Rahue E440439 entity
Predicate flowsThrough P225 FINISHED
Object Osorno 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: Osorno | Statement: [Río Rahue, flowsThrough, Osorno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osorno
Context triple: [Río Rahue, flowsThrough, Osorno]
  • A. Osorno chosen
    Osorno is a city in southern Chile known as an agricultural and commercial hub in the Los Lagos Region, near the Andes and several volcanoes.
  • B. Valle Grande
    Valle Grande is a scenic canyon and reservoir area in Argentina’s Mendoza province, popular for outdoor activities like rafting, hiking, and camping.
  • C. Valle Grande
    Valle Grande is a vast high-altitude volcanic caldera meadow in northern New Mexico, renowned for its scenic landscapes, wildlife, and geothermal features.
  • D. Peñas Blancas
    Peñas Blancas is a border town between Costa Rica and Nicaragua that serves as a major overland crossing point for travelers and freight in Central America.
  • E. Pasuquin
    Pasuquin is a coastal municipality in the province of Ilocos Norte in the Philippines, known for its salt-making industry and scenic beaches.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6723d081908eaa57eef6d70bd0 completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 9:58 a.m.