Triple

T9505550
Position Surface form Disambiguated ID Type / Status
Subject Crawford County, Indiana E229258 entity
Predicate hasWaterBody P165 FINISHED
Object Patoka Lake E566852 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: Patoka Lake | Statement: [Crawford County, Indiana, hasWaterBody, Patoka Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patoka Lake
Context triple: [Crawford County, Indiana, hasWaterBody, Patoka Lake]
  • A. Patoka Lake chosen
    Patoka Lake is a large reservoir and popular outdoor recreation destination in southern Indiana known for boating, fishing, camping, and wildlife viewing.
  • B. Conesus Lake
    Conesus Lake is one of the smaller western lakes in New York’s Finger Lakes region, known for recreation, cottages, and scenic rural surroundings.
  • C. Mayfield Lake
    Mayfield Lake is a large reservoir in southwestern Washington State popular for boating, fishing, and camping.
  • D. Findley Lake
    Findley Lake is a small hamlet and recreational lake in southwestern New York known for its lakeside tourism and proximity to the Pennsylvania border.
  • E. Wilson Lake
    Wilson Lake is a man-made reservoir in northern Alabama known for hydroelectric power generation, navigation, and recreational activities along the Tennessee River.
  • 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9852b7e48190a8f69cbde10d2858 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c09b9f88190b279335b5289defb completed April 4, 2026, 5:36 p.m.
Created at: March 30, 2026, 7:57 p.m.