Triple

T8186369
Position Surface form Disambiguated ID Type / Status
Subject Burlington, Wisconsin E191192 entity
Predicate locatedNear P294 FINISHED
Object Kenosha, Wisconsin E595331 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: Kenosha, Wisconsin | Statement: [Burlington, Wisconsin, locatedNear, Kenosha, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenosha, Wisconsin
Context triple: [Burlington, Wisconsin, locatedNear, Kenosha, Wisconsin]
  • A. Kenosha
    Kenosha is a mid-sized city in southeastern Wisconsin located on the shore of Lake Michigan between Milwaukee and Chicago.
  • B. Kenosha, Wisconsin, United States chosen
    Kenosha, Wisconsin, United States is a mid-sized industrial and lakeside city on the southwestern shore of Lake Michigan between Milwaukee and Chicago.
  • C. Waukesha, Wisconsin
    Waukesha, Wisconsin is a suburban city west of Milwaukee known for its historic downtown, former mineral springs resorts, and location along the Fox River.
  • D. Fond du Lac, Wisconsin
    Fond du Lac, Wisconsin is a small city in east-central Wisconsin known as a regional commercial center at the southern tip of Lake Winnebago.
  • E. Marinette, Wisconsin
    Marinette, Wisconsin is a small industrial city in northeastern Wisconsin on the shore of Green Bay, known historically for shipbuilding and its location opposite Menominee, Michigan.
  • 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_69ca82c5b6948190a583c096fb0a6c71 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4c52407c8190bd366fce6d4e02cd completed March 31, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce8861dc6481908ad83c99a2798f6e completed April 2, 2026, 3:16 p.m.
Created at: March 30, 2026, 5:41 p.m.