Triple

T1767677
Position Surface form Disambiguated ID Type / Status
Subject Hamilton County, New York E38800 entity
Predicate contains P35 FINISHED
Object Long Lake E220694 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: Long Lake | Statement: [Hamilton County, New York, contains, Long Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Long Lake
Context triple: [Hamilton County, New York, contains, Long Lake]
  • A. Long Lake chosen
    Long Lake is a freshwater lake that serves as the setting for Long Lake Beach and is likely used for recreation and local outdoor activities.
  • B. St. Mary Lake
    St. Mary Lake is a prominent alpine lake in Montana’s Rocky Mountains, known for its striking turquoise waters and scenic mountain backdrop within Glacier National Park.
  • C. Lay Lake
    Lay Lake is a large reservoir on the Coosa River in central Alabama, popular for boating, fishing, and hydroelectric power generation.
  • D. Don Lake
    Don Lake is a Canadian actor, writer, and comedian known for his character roles in film and television and frequent collaborations with director Christopher Guest.
  • E. Norris Lake
    Norris Lake is a large, popular reservoir in eastern Tennessee known for boating, fishing, and scenic recreation along its extensive shoreline.
  • 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_69a8862e61708190af97b9838cc3f5de completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa648bb44c81909245fb7ee23cb132 completed March 6, 2026, 5:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6276ad7c8819094372faa2162aa65 completed March 15, 2026, 3:28 a.m.
Created at: March 4, 2026, 7:31 p.m.