Triple

T19899200
Position Surface form Disambiguated ID Type / Status
Subject Big Bend Dam E478235 entity
Predicate reservoirName P13043 FINISHED
Object Lake Sharpe NE NERFINISHED

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 Sharpe | Statement: [Big Bend Dam, reservoirName, Lake Sharpe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Sharpe
Context triple: [Big Bend Dam, reservoirName, Lake Sharpe]
  • A. Lake Sharpe chosen
    Lake Sharpe is a large reservoir on the Missouri River in South Dakota, created by the construction of Big Bend Dam and used for hydroelectric power, recreation, and irrigation.
  • B. Lake Greeson
    Lake Greeson is a man-made reservoir in southwest Arkansas known for fishing, boating, and outdoor recreation.
  • C. Lake Boren
    Lake Boren is a freshwater lake in eastern Sweden that forms part of the Göta Canal waterway system and lies near the town of Motala.
  • D. Lake Wyola
    Lake Wyola is a scenic freshwater lake in Shutesbury, Massachusetts, popular for swimming, boating, and outdoor recreation.
  • E. Lake Merwin
    Lake Merwin is a large reservoir on the Lewis River in southwestern Washington State, popular for boating, fishing, and other outdoor recreation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6593fbb348190afa7acf45af406ed completed April 20, 2026, 4:50 p.m.
Created at: April 10, 2026, 1:52 p.m.