Triple

T9172276
Position Surface form Disambiguated ID Type / Status
Subject Ozaukee County E220108 entity
Predicate largestCity P235 FINISHED
Object Mequon E701670 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: Mequon | Statement: [Ozaukee County, largestCity, Mequon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mequon
Context triple: [Ozaukee County, largestCity, Mequon]
  • A. Mequon chosen
    Mequon is a suburban city in Ozaukee County, Wisconsin, known for its affluent residential character, extensive green spaces, and location just north of Milwaukee.
  • B. Oconomowoc
    Oconomowoc is a small lakeside city in southeastern Wisconsin known for its scenic waterfronts and historic downtown.
  • C. Shorewood
    Shorewood is a suburban city in the Minneapolis–Saint Paul metropolitan area of Minnesota, known for its residential neighborhoods near Lake Minnetonka.
  • D. Shorewood
    Shorewood is a residential neighborhood within the city of Burien, Washington, known for its suburban character and proximity to the Puget Sound shoreline.
  • E. Muskego
    Muskego is a suburban city in Waukesha County, Wisconsin, known for its residential communities and numerous lakes and parks.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccbf9fe79c819082f335c2fdd1c7d3 completed April 1, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0549d81d88190bea0995ad0016437 completed April 4, 2026, midnight
Created at: March 30, 2026, 7:22 p.m.