Triple

T14414564
Position Surface form Disambiguated ID Type / Status
Subject Lakeshore Park E357414 entity
Predicate adjacentTo P224 FINISHED
Object Walled Lake E444735 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: Walled Lake | Statement: [Lakeshore Park, adjacentTo, Walled Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walled Lake
Context triple: [Lakeshore Park, adjacentTo, Walled Lake]
  • A. Walled Lake chosen
    Walled Lake is a natural inland lake in Oakland County, Michigan, known for recreational activities such as boating, fishing, and lakeside residential communities.
  • B. Stow Lake
    Stow Lake is a man-made lake and popular recreational spot in San Francisco’s Golden Gate Park, known for its boating, walking paths, and scenic island.
  • C. Pewaukee Lake
    Pewaukee Lake is a popular recreational lake in southeastern Wisconsin known for boating, fishing, and lakeside communities.
  • D. Gull Lake
    Gull Lake is a scenic freshwater lake in Ontario, Canada, known for recreation, cottages, and its proximity to the town of Gravenhurst in the Muskoka region.
  • E. Gull Lake
    Gull Lake is a popular central Minnesota lake known for its resorts, fishing, and recreational boating opportunities.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cc99208190a2313b1acfb5d802 completed April 14, 2026, 7:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5be63848190aa71f009ceaea1b3 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:17 a.m.