Triple

T13160574
Position Surface form Disambiguated ID Type / Status
Subject Minneapolis park system E312714 entity
Predicate hasPart P35 FINISHED
Object Cedar 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: Cedar Lake | Statement: [Minneapolis park system, hasPart, Cedar Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cedar Lake
Context triple: [Minneapolis park system, hasPart, Cedar Lake]
  • A. Cedar Lake chosen
    Cedar Lake is a popular recreational lake in Minneapolis, Minnesota, known for its beaches, trails, and natural surroundings within the city's Chain of Lakes.
  • B. Walnut Lake
    Walnut Lake is a residential, recreational lake located in Bloomfield Township in Oakland County, Michigan.
  • C. Greenwood Lake
    Greenwood Lake is a scenic glacial lake straddling the border of New York and New Jersey, popular for boating, fishing, and lakeside recreation.
  • D. Orchard Lake
    Orchard Lake is a scenic inland lake in Oakland County, Michigan, known for its recreational boating, fishing, and upscale residential shoreline.
  • E. Grays Lake
    Grays Lake is a small natural lake in Grayslake, Illinois, known for its surrounding parkland, recreational activities, and role as a local scenic and community focal point.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c0971008190869e9de710f4c579 completed April 10, 2026, 11:47 p.m.
Created at: April 9, 2026, 9:12 p.m.