Triple

T19689196
Position Surface form Disambiguated ID Type / Status
Subject Centro de Ski Volcán Osorno E472789 entity
Predicate locatedNear P294 FINISHED
Object Puerto Varas 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: Puerto Varas | Statement: [Centro de Ski Volcán Osorno, locatedNear, Puerto Varas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puerto Varas
Context triple: [Centro de Ski Volcán Osorno, locatedNear, Puerto Varas]
  • A. Puerto Varas chosen
    Puerto Varas is a picturesque lakeside city in southern Chile’s Los Lagos Region, known for its German-influenced architecture and views of the Osorno and Calbuco volcanoes.
  • B. Puerto Valdivia
    Puerto Valdivia is a small riverside town in northern Colombia known for its location along the Cauca River and its role as a local transport and trading point.
  • C. Los Lagos
    Los Lagos is a small Chilean city located in the Los Ríos Region, known for its riverside setting and role as a local agricultural and forestry center.
  • D. Los Lagos
    Los Lagos is a region in southern Chile known for its numerous lakes, volcanoes, and lush temperate rainforests.
  • E. Puerto Montt
    Puerto Montt is a port city in southern Chile, serving as a key gateway to the Patagonian fjords and the Chilean Lake District.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6420e5b788190a63ff6b83383b0e8 completed April 20, 2026, 3:11 p.m.
Created at: April 10, 2026, 1:45 p.m.