Triple

T7848134
Position Surface form Disambiguated ID Type / Status
Subject Waukesha County, Wisconsin E181970 entity
Predicate hasCity P316 FINISHED
Object Brookfield, Wisconsin E705593 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: Brookfield, Wisconsin | Statement: [Waukesha County, Wisconsin, hasCity, Brookfield, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brookfield, Wisconsin
Context triple: [Waukesha County, Wisconsin, hasCity, Brookfield, Wisconsin]
  • A. 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.
  • B. Shorewood, Wisconsin
    Shorewood, Wisconsin is a suburban village just north of Milwaukee known for its walkable residential neighborhoods, historic homes, and access to Lake Michigan.
  • C. 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.
  • D. Brookfield
    Brookfield is a small settlement located within the High Peak area of Derbyshire in England.
  • E. Brookfield chosen
    Brookfield is a suburban city in southeastern Wisconsin known for its residential neighborhoods, retail centers, and proximity to Milwaukee.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18e7f5988190808ae4dcfbc06991 completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc55fe5b4c8190b35ddbef8c372269 completed March 31, 2026, 11:17 p.m.
Created at: March 30, 2026, 4:49 p.m.