Triple

T7864719
Position Surface form Disambiguated ID Type / Status
Subject Departamento de Boyacá E182586 entity
Predicate hasTouristAttraction P530 FINISHED
Object Lake Tota E167570 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: Lake Tota | Statement: [Departamento de Boyacá, hasTouristAttraction, Lake Tota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Tota
Context triple: [Departamento de Boyacá, hasTouristAttraction, Lake Tota]
  • A. Lake Tota chosen
    Lake Tota is Colombia’s largest natural lake, located high in the Andes and known for its scenic beauty and ecological significance.
  • B. Pilarcitos Lake
    Pilarcitos Lake is a man-made reservoir on the San Francisco Peninsula that stores water as part of the region’s municipal supply system.
  • C. Lake Tiorati
    Lake Tiorati is a popular recreational lake in New York’s Harriman State Park, known for swimming, boating, fishing, and surrounding hiking trails.
  • D. Los Molinos Lake
    Los Molinos Lake is an artificial reservoir and popular recreational and water-sports destination located in Córdoba Province, Argentina.
  • E. Lago Toro
    Lago Toro is a scenic mountain lake located within Chile’s Huerquehue National Park, known for its forested surroundings and hiking access.
  • 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_69ca82894d9081908a832bfce71a4714 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb36c0eaa48190a0df4c37c726546e completed March 31, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdf6fb33881908cf7bd68915aa6b4 completed March 31, 2026, 2:51 p.m.
Created at: March 30, 2026, 4:54 p.m.