Triple

T8087787
Position Surface form Disambiguated ID Type / Status
Subject Lake Mohegan Recreation Area E188777 entity
Predicate hasPart P35 FINISHED
Object Lake Mohegan E58197 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 Mohegan | Statement: [Lake Mohegan Recreation Area, hasPart, Lake Mohegan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Mohegan
Context triple: [Lake Mohegan Recreation Area, hasPart, Lake Mohegan]
  • A. Lake Mohegan chosen
    Lake Mohegan is a residential hamlet in the town of Yorktown in Westchester County, New York.
  • B. Lake Waramaug
    Lake Waramaug is a scenic glacial lake in northwestern Connecticut known for its recreational opportunities, surrounding state park, and picturesque New England setting.
  • C. Delaware Lake
    Delaware Lake is a man-made reservoir in central Ohio used for flood control, recreation, and wildlife habitat.
  • D. Lake Skenonto
    Lake Skenonto is a scenic backcountry lake in New York’s Harriman State Park, popular with hikers and campers for its remote, forested setting.
  • E. Lake Housatonic
    Lake Housatonic is a man-made reservoir in western Connecticut popular for boating, fishing, and rowing activities.
  • 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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4162244481908ab1202a9974deaa completed March 31, 2026, 3:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc6406395c8190ad8db69c878ce9b8 completed April 1, 2026, 12:17 a.m.
Created at: March 30, 2026, 5:29 p.m.