Triple

T14299986
Position Surface form Disambiguated ID Type / Status
Subject Gustav Stickley E354536 entity
Predicate placeOfBirth P1 FINISHED
Object Osceola, Wisconsin E356679 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: Osceola, Wisconsin | Statement: [Gustav Stickley, placeOfBirth, Osceola, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osceola, Wisconsin
Context triple: [Gustav Stickley, placeOfBirth, Osceola, Wisconsin]
  • A. Osceola, Wisconsin chosen
    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.
  • B. Necedah, Wisconsin
    Necedah, Wisconsin is a small village in central Wisconsin known as a gateway to nearby wildlife refuges and outdoor recreation areas.
  • C. Elkhorn, Wisconsin
    Elkhorn, Wisconsin is a small city in southeastern Wisconsin known as the administrative and commercial hub of Walworth County.
  • D. Waunakee, Wisconsin
    Waunakee, Wisconsin is a village in Dane County known as a growing suburban community just north of Madison.
  • E. 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.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717e246c819083e67ac2b3b77881 completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5bb9a5881908eac6153c7eb623e completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:11 a.m.