Triple

T3447389
Position Surface form Disambiguated ID Type / Status
Subject Hamilton County E72709 entity
Predicate contains P35 FINISHED
Object Lake Pleasant (town) E214039 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: Lake Pleasant (town) | Statement: [Hamilton County, contains, Lake Pleasant (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Pleasant (town)
Context triple: [Hamilton County, contains, Lake Pleasant (town)]
  • A. Lake Pleasant
    Lake Pleasant is a large recreational reservoir in central Arizona known for boating, fishing, and outdoor activities within the Phoenix metropolitan area.
  • B. Lake Pleasant, New York chosen
    Lake Pleasant, New York is a small Adirondack community that serves as the administrative and governmental center of Hamilton County.
  • C. Pleasant Lake
    Pleasant Lake is a small village within the town of Harwich on Cape Cod in Massachusetts, known for its residential character and proximity to local lakes and natural areas.
  • D. City of Lakes
    City of Lakes is a popular nickname for Minneapolis, highlighting its many urban lakes and waterfronts.
  • E. City of Lakes
    City of Lakes is a popular nickname for Udaipur, a picturesque city in Rajasthan, India, renowned for its numerous interconnected lakes and romantic waterfront scenery.
  • 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.