Triple

T14824016
Position Surface form Disambiguated ID Type / Status
Subject Lake Turano E348524 entity
Predicate locatedNear P294 FINISHED
Object Lake Salto E352150 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 Salto | Statement: [Lake Turano, locatedNear, Lake Salto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Salto
Context triple: [Lake Turano, locatedNear, Lake Salto]
  • A. Lake Salto chosen
    Lake Salto is an artificial reservoir in central Italy, known as the largest lake in the Lazio region and a popular spot for fishing and outdoor recreation.
  • B. Gutiérrez Lake
    Gutiérrez Lake is a glacial Andean lake in Argentina’s Patagonia region, known for its clear waters, surrounding forests, and outdoor recreation opportunities near Bariloche.
  • C. Lago Sul
    Lago Sul is an affluent residential region of Brasília, Brazil, known for its upscale homes, embassies, and scenic views over Paranoá Lake.
  • D. Lago Toro
    Lago Toro is a scenic mountain lake located within Chile’s Huerquehue National Park, known for its forested surroundings and hiking access.
  • E. 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.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe7a8dc8190bcb5ecfa1cbf1601 completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe72a6b4388190b83bdecb217b9b18 completed May 8, 2026, 11:32 p.m.
Created at: April 10, 2026, 1:51 a.m.