Triple

T15333157
Position Surface form Disambiguated ID Type / Status
Subject Diversey E366591 entity
Predicate neighborhood P988 FINISHED
Object Lakeview E29184 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: Lakeview | Statement: [Diversey, neighborhood, Lakeview]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lakeview
Context triple: [Diversey, neighborhood, Lakeview]
  • A. Lakeview
    Lakeview is a Long Island Rail Road commuter rail station serving the Lakeview neighborhood in Nassau County, New York.
  • B. Lakeview chosen
    Lakeview is a vibrant North Side Chicago neighborhood known for its lively entertainment scene, lakefront access, and diverse residential areas including Boystown and Wrigleyville.
  • C. Lakeview
    Lakeview is a residential neighborhood located near Houghton, likely characterized by its proximity to local amenities and community services.
  • D. Lakeview Heights
    Lakeview Heights is a small residential community located within the Township of South Stormont in eastern Ontario, Canada.
  • E. Lakeview Terrace
    Lakeview Terrace is a 2008 American thriller film about a hostile LAPD officer who terrorizes his new neighbors, directed by Neil LaBute and starring Samuel L. Jackson.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0268608190947a58f559a67717 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01ecb904819082454622dcd77556 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:17 a.m.