Triple

T22044579
Position Surface form Disambiguated ID Type / Status
Subject Diversey Avenue E544726 entity
Predicate connectsArea P2564 FINISHED
Object Lakeview 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: Lakeview | Statement: [Diversey Avenue, connectsArea, Lakeview]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lakeview
Context triple: [Diversey Avenue, connectsArea, 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 Village
    Lakeview Village is a shopping center located in D'Iberville, Mississippi, featuring a variety of retail stores and services.
  • 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1282d5bb08190849d5084962bf3a5 completed April 28, 2026, 9:35 p.m.
Created at: April 16, 2026, 8:25 p.m.