Triple

T4363992
Position Surface form Disambiguated ID Type / Status
Subject Osorno E98726 entity
Predicate nearbyLake P17985 FINISHED
Object Llanquihue Lake E116758 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: Llanquihue Lake | Statement: [Osorno, nearbyLake, Llanquihue Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Llanquihue Lake
Context triple: [Osorno, nearbyLake, Llanquihue Lake]
  • A. Llanquihue Lake chosen
    Llanquihue Lake is one of Chile's largest and most scenic lakes, renowned for its clear waters and striking views of nearby snow-capped volcanoes.
  • B. Riñihue Lake
    Riñihue Lake is a glacial lake in southern Chile, known for its scenic Andean setting and its role in the historic 1960 Valdivia earthquake-related flooding events.
  • C. Lago Ranco
    Lago Ranco is a small town in southern Chile known for its scenic setting on the shores of Lake Ranco in the Los Ríos Region.
  • D. Calafquén Lake
    Calafquén Lake is a scenic glacial lake in southern Chile, known for its clear waters, surrounding volcanoes, and popularity for fishing and water sports.
  • E. Curanilahue
    Curanilahue is a Chilean city and commune in the Biobío Region, known historically for its coal mining industry and location in the Arauco Province.
  • 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_69b5e504f7b88190abc3e999c499920d completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:16 p.m.