Triple

T3844028
Position Surface form Disambiguated ID Type / Status
Subject Union County, Tennessee E93523 entity
Predicate hasWaterBody P165 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: [Union County, Tennessee, hasWaterBody, Norris Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norris Lake
Context triple: [Union County, Tennessee, hasWaterBody, 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb4fd308190a636ba9dbbe57ed6 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9660842888190a9d37a5fd1830ccd completed March 29, 2026, 5:48 p.m.
Created at: March 9, 2026, 3:18 p.m.