Triple

T15027132
Position Surface form Disambiguated ID Type / Status
Subject Celilo Falls E378246 entity
Predicate submergedBy P42186 FINISHED
Object Lake Celilo E400006 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 Celilo | Statement: [Celilo Falls, submergedBy, Lake Celilo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Celilo
Context triple: [Celilo Falls, submergedBy, Lake Celilo]
  • A. Lake Celilo chosen
    Lake Celilo is a man-made reservoir on the Columbia River in the Pacific Northwest, formed by the inundation of Celilo Falls and surrounding areas.
  • B. Lake Albina
    Lake Albina is a small glacial lake located in the Snowy Mountains of New South Wales, Australia, near Mount Kosciuszko.
  • 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. Boolambayte Lake
    Boolambayte Lake is a coastal freshwater lake located within New South Wales' Myall Lakes system in eastern Australia.
  • E. Calima Lake
    Calima Lake is a large artificial reservoir in Colombia’s Valle del Cauca department, popular for water sports like windsurfing and kitesurfing due to its strong, consistent winds.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7dfcb508190aec8cd667e27a8ea completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3647bda881909a83311926096a29 completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 2:58 a.m.