Triple

T7848003
Position Surface form Disambiguated ID Type / Status
Subject Southeastern Wisconsin E181969 entity
Predicate hasMajorCity P316 FINISHED
Object Cedarburg E210645 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: Cedarburg | Statement: [Southeastern Wisconsin, hasMajorCity, Cedarburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cedarburg
Context triple: [Southeastern Wisconsin, hasMajorCity, Cedarburg]
  • A. Cedarburg, Wisconsin chosen
    Cedarburg, Wisconsin is a historic small city in Ozaukee County known for its well-preserved 19th-century downtown, stone buildings, and cultural festivals just north of Milwaukee.
  • B. Bayfield
    Bayfield is a residential suburb of the historic town of Chepstow in Monmouthshire, Wales.
  • C. Wisconsin Rapids
    Wisconsin Rapids is a small city in central Wisconsin known historically for its paper industry and location along the Wisconsin River.
  • D. Bayfield, Wisconsin
    Bayfield, Wisconsin is a small lakeside city on the shores of Lake Superior known as the gateway to the Apostle Islands National Lakeshore.
  • E. Germantown, Wisconsin
    Germantown, Wisconsin is a suburban village in southeastern Wisconsin known for its residential communities, local parks, and proximity to the Milwaukee metropolitan area.
  • 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_69ccbda1033c819088372a46a74c575d completed April 1, 2026, 6:39 a.m.
Created at: March 30, 2026, 4:49 p.m.