Triple

T3447381
Position Surface form Disambiguated ID Type / Status
Subject Hamilton County E72709 entity
Predicate contains P35 FINISHED
Object Piseco Lake E219965 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: Piseco Lake | Statement: [Hamilton County, contains, Piseco Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piseco Lake
Context triple: [Hamilton County, contains, Piseco Lake]
  • A. Piseco Lake chosen
    Piseco Lake is a scenic freshwater lake in the Adirondack Mountains of upstate New York, popular for fishing, boating, and outdoor recreation.
  • B. Tonetta Lake
    Tonetta Lake is a small hamlet in the Town of Southeast in Putnam County, New York, known for its residential community centered around the nearby lake.
  • C. Ranco Lake
    Ranco Lake is a large glacial lake in southern Chile known for its scenic Andean surroundings, clear waters, and popularity for fishing and outdoor recreation.
  • D. Malta Lake
    Malta Lake is an artificial recreational reservoir in Poznań, Poland, known for its rowing course, leisure facilities, and cultural events.
  • E. Oneida Lake
    Oneida Lake is a large, shallow lake in central New York known for its recreational fishing, boating, and role as an important link in the region’s waterways.
  • 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba6efb188190b989fa4d6f28e16b completed March 8, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360e32ba08190bcd2f3cbe963c443 completed March 13, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:16 p.m.