Triple

T17753728
Position Surface form Disambiguated ID Type / Status
Subject Chain O’Lakes E443176 entity
Predicate hasPart P35 FINISHED
Object Nippersink Lake NE NERFINISHED

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: Nippersink Lake | Statement: [Chain O’Lakes, hasPart, Nippersink Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nippersink Lake
Context triple: [Chain O’Lakes, hasPart, Nippersink Lake]
  • A. Nippersink Lake chosen
    Nippersink Lake is a popular recreational lake in northeastern Illinois known for boating, fishing, and its connection to the larger Chain O’Lakes waterway system.
  • B. Wallum Lake
    Wallum Lake is a scenic freshwater lake on the Rhode Island–Massachusetts border known for recreation such as boating, fishing, and swimming.
  • C. Kinderhook Lake
    Kinderhook Lake is a small lakeside hamlet and recreational area in the town of Kinderhook in Columbia County, New York.
  • D. Walnut Lake
    Walnut Lake is a residential, recreational lake located in Bloomfield Township in Oakland County, Michigan.
  • E. Pennesseewassee Lake
    Pennesseewassee Lake is a freshwater lake in western Maine known for recreational activities such as boating, fishing, and lakeside camping.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4841da9988190b5efde3bbd3f24c3 completed April 19, 2026, 7:28 a.m.
Created at: April 10, 2026, 10:10 a.m.