Triple

T15737238
Position Surface form Disambiguated ID Type / Status
Subject South Central Wisconsin E381504 entity
Predicate containsCity P294 FINISHED
Object Stoughton, Wisconsin E413547 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: Stoughton, Wisconsin | Statement: [South Central Wisconsin, containsCity, Stoughton, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stoughton, Wisconsin
Context triple: [South Central Wisconsin, containsCity, Stoughton, Wisconsin]
  • A. Stoughton, Wisconsin chosen
    Stoughton, Wisconsin is a small city in Dane County known for its Norwegian heritage, historic downtown, and proximity to Madison.
  • B. Watertown, Wisconsin
    Watertown, Wisconsin is a small city in southeastern Wisconsin known for its historic downtown, riverside setting, and early German-American heritage.
  • C. Steuben, Wisconsin
    Steuben, Wisconsin is a small rural village in Crawford County situated in the scenic Kickapoo River valley of southwestern Wisconsin.
  • D. St. Germain, Wisconsin
    St. Germain, Wisconsin is a small Northwoods town known for its lakes, outdoor recreation, and tourism in northern Wisconsin.
  • E. Stratford, Wisconsin
    Stratford, Wisconsin is a small village in central Wisconsin known for its agricultural community and location within Marathon County.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd6eb888190b7a9b07b76e62c0d completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00b274fa3481908b019036cd2ae627 completed May 10, 2026, 4:29 p.m.
Created at: April 10, 2026, 4:46 a.m.