Triple

T6209036
Position Surface form Disambiguated ID Type / Status
Subject Essex County E138819 entity
Predicate contains P35 FINISHED
Object Town of LaSalle E511010 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 LaSalle | Statement: [Essex County, contains, Town of LaSalle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Town of LaSalle
Context triple: [Essex County, contains, Town of LaSalle]
  • A. Town of LaSalle chosen
    The Town of LaSalle is a suburban municipality in southwestern Ontario, Canada, located along the Detroit River just south of Windsor.
  • B. Mebanesville
    Mebanesville was the original name of the city now known as Mebane in North Carolina.
  • C. Florenville
    Florenville is a picturesque town in southern Belgium’s Wallonia region, known for its scenic setting along the Semois River and surrounding Ardennes landscapes.
  • D. City of Wamego
    The City of Wamego is a municipal government in Kansas that oversees local services, infrastructure, and community institutions for residents of the Wamego area.
  • E. Tétreaultville
    Tétreaultville is a residential neighborhood in eastern Montreal, Quebec, known for its quiet streets, local parks, and family-oriented character.
  • 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.