Triple

T6209035
Position Surface form Disambiguated ID Type / Status
Subject Essex County E138819 entity
Predicate contains P35 FINISHED
Object Town of Lakeshore E511009 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: Town of Lakeshore | Statement: [Essex County, contains, Town of Lakeshore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Town of Lakeshore
Context triple: [Essex County, contains, Town of Lakeshore]
  • A. Town of Lakeshore chosen
    The Town of Lakeshore is a suburban and rural municipality in southwestern Ontario situated along the shores of Lake St. Clair, known for its growing residential communities and lakeside recreation.
  • B. Shoreline Village
    Shoreline Village is a waterfront shopping, dining, and entertainment complex in Long Beach, California, known for its marina views and boardwalk atmosphere.
  • C. City of Lakes
    City of Lakes is a popular nickname for Minneapolis, highlighting its many urban lakes and waterfronts.
  • D. City of Lakes
    City of Lakes is a popular nickname for Udaipur, a picturesque city in Rajasthan, India, renowned for its numerous interconnected lakes and romantic waterfront scenery.
  • E. Lakeside Village
    Lakeside Village is a resort village area within Colorado’s Keystone Resort, offering lodging, dining, and lakeside recreation for visitors.
  • 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0628850bc819080a26c5e05a1d29f completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f52829c81909bdd422cbb1eabf4 completed March 23, 2026, 4:50 p.m.
Created at: March 22, 2026, 4:21 p.m.