Triple

T14954016
Position Surface form Disambiguated ID Type / Status
Subject Patoka River E372872 entity
Predicate hasNearbyWaterBody P1489 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: [Patoka River, hasNearbyWaterBody, Patoka Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patoka Lake
Context triple: [Patoka River, hasNearbyWaterBody, 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. Kanopolis Lake
    Kanopolis Lake is a man-made reservoir in central Kansas known for its recreational opportunities, including boating, fishing, and hiking in the surrounding sandstone canyons and prairie.
  • D. Geauga Lake
    Geauga Lake was a former large amusement park and water park in Aurora, Ohio, known for its roller coasters and long history before closing in the late 2000s.
  • E. Mayfield Lake
    Mayfield Lake is a large reservoir in southwestern Washington State popular for boating, fishing, and camping.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cb336c8190b8a55106fa8fc500 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe968f25e08190bfbf7a3541f79add completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:40 a.m.