Triple

T2149778
Position Surface form Disambiguated ID Type / Status
Subject Spanish Town E47152 entity
Predicate locatedWestOf P4239 FINISHED
Object Kingston E44350 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: Kingston | Statement: [Spanish Town, locatedWestOf, Kingston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingston
Context triple: [Spanish Town, locatedWestOf, Kingston]
  • A. Kingston
    Kingston is a small city in eastern Tennessee that serves as the county seat of Roane County and lies within the greater Knoxville metropolitan area.
  • B. Kingston
    Kingston is a historic Canadian city in eastern Ontario, located where the St. Lawrence River meets Lake Ontario, known for its limestone architecture and role as a former capital of the Province of Canada.
  • C. Kingston chosen
    Kingston is the largest city of Jamaica and its political, cultural, and economic center.
  • D. Kingston
    Kingston is a small unincorporated community and historic mining town located in central Nevada, United States.
  • E. Kingston
    Kingston is a coastal town in Plymouth County, Massachusetts, known for its historic New England character and proximity to Cape Cod Bay.
  • 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe45dbf481909c0da056a1a99ece completed March 7, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d940bec8190998ef88ed44e5811 completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:44 p.m.