Triple

T15780724
Position Surface form Disambiguated ID Type / Status
Subject Oconto River E382606 entity
Predicate mouthLocatedIn P417 FINISHED
Object Oconto, Wisconsin E636694 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: Oconto, Wisconsin | Statement: [Oconto River, mouthLocatedIn, Oconto, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oconto, Wisconsin
Context triple: [Oconto River, mouthLocatedIn, Oconto, Wisconsin]
  • A. Oconto, Wisconsin chosen
    Oconto, Wisconsin is a small city in northeastern Wisconsin located along the Oconto River and the western shore of Green Bay.
  • B. Osceola, Wisconsin
    Osceola, Wisconsin is a small village in western Wisconsin known as the birthplace of influential American furniture designer and Arts and Crafts movement leader Gustav Stickley.
  • C. Kewaunee, Wisconsin
    Kewaunee, Wisconsin is a small port city on the western shore of Lake Michigan known historically as a car ferry terminus and shipping hub.
  • D. Waunakee, Wisconsin
    Waunakee, Wisconsin is a village in Dane County known as a growing suburban community just north of Madison.
  • E. Elkhorn, Wisconsin
    Elkhorn, Wisconsin is a small city in southeastern Wisconsin known as the administrative and commercial hub of Walworth 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e053fea90081908e3fe4f91475bead completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067948b308190a434cdf1d45ebef4 completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 4:48 a.m.