Triple

T23318354
Position Surface form Disambiguated ID Type / Status
Subject Laguna Blanca E590775 entity
Predicate near P350 FINISHED
Object Laguna Verde 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: Laguna Verde | Statement: [Laguna Blanca, near, Laguna Verde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laguna Verde
Context triple: [Laguna Blanca, near, Laguna Verde]
  • A. Laguna Verde
    Laguna Verde is a large private residential complex in Hong Kong’s Hung Hom district, known for its high-rise apartment towers and waterfront location.
  • B. Laguna Verde chosen
    Laguna Verde is a scenic green-hued lagoon located within Chile’s Conguillío National Park, known for its striking color and Andean volcanic surroundings.
  • C. Laguna Verde
    Laguna Verde is a striking high-altitude salt lake in southwestern Bolivia, known for its vivid green color caused by mineral and algal content and its dramatic setting beneath Andean volcanoes.
  • D. Lago Verde
    Lago Verde is a scenic mountain lake in southern Chile, known for its clear green waters and forested surroundings within Huerquehue National Park.
  • E. San Roque Lake
    San Roque Lake is a large artificial reservoir in Argentina’s Córdoba Province, known for supplying water to nearby cities and serving as a major center for tourism and water sports.
  • 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_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1978372948190bad066893c4e0768 completed April 29, 2026, 5:30 a.m.
Created at: April 17, 2026, 5:07 p.m.