Triple

T21245817
Position Surface form Disambiguated ID Type / Status
Subject Wisconsin's 4th congressional district E523604 entity
Predicate cityIncluded P3207 FINISHED
Object Brown Deer NE NERFINISHED

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: Brown Deer | Statement: [Wisconsin's 4th congressional district, cityIncluded, Brown Deer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brown Deer
Context triple: [Wisconsin's 4th congressional district, cityIncluded, Brown Deer]
  • A. Brown Deer, Wisconsin chosen
    Brown Deer, Wisconsin is a suburban village in Milwaukee County known for its residential neighborhoods, parks, and proximity to the Milwaukee metropolitan area.
  • B. Muskego
    Muskego is a suburban city in Waukesha County, Wisconsin, known for its residential communities and numerous lakes and parks.
  • C. Bayfield
    Bayfield is a residential suburb of the historic town of Chepstow in Monmouthshire, Wales.
  • D. Oak Creek
    Oak Creek is a master-planned residential village within the city of Irvine, California, known for its suburban neighborhoods, parks, and community amenities.
  • E. Oak Creek
    Oak Creek is a suburban city in Milwaukee County, Wisconsin, known for its residential communities, industrial parks, and proximity to Milwaukee and Lake Michigan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b513b89c81908b27147e91368db2 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73599e5548190ad70d2c2bfa9e919 completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:49 p.m.