Triple

T3863672
Position Surface form Disambiguated ID Type / Status
Subject Norris Dam E91798 entity
Predicate reservoirName P13043 FINISHED
Object Norris Lake E315892 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: Norris Lake | Statement: [Norris Dam, reservoirName, Norris Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norris Lake
Context triple: [Norris Dam, reservoirName, Norris Lake]
  • A. Norris Lake chosen
    Norris Lake is a large, popular reservoir in eastern Tennessee known for boating, fishing, and scenic recreation along its extensive shoreline.
  • B. Riffe Lake
    Riffe Lake is a large reservoir on the Cowlitz River in southwestern Washington, popular for fishing, boating, and camping.
  • C. Fisher Lake
    Fisher Lake is a natural lake located within George Wyth State Park in Iowa, known for outdoor recreation such as fishing and boating.
  • D. Wood Lake
    Wood Lake is a freshwater lake in British Columbia’s Okanagan region, known for recreation, fishing, and its role in the local valley ecosystem.
  • E. Fairview Lake
    Fairview Lake is a small recreational and residential lake located in the city of Fairview in Multnomah County, Oregon.
  • 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_69aed9645f348190a9868e7cef56ab7e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec3871d881909c6c8e6d08203801 completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c96bf63cfc8190a89a674e0e666134 completed March 29, 2026, 6:14 p.m.
Created at: March 9, 2026, 3:19 p.m.