Triple

T22880647
Position Surface form Disambiguated ID Type / Status
Subject Tommy Thompson E567456 entity
Predicate birthPlace P1 FINISHED
Object Elroy, Wisconsin NE NERFINISHED

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: Elroy, Wisconsin | Statement: [Tommy Thompson, birthPlace, Elroy, Wisconsin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elroy, Wisconsin
Context triple: [Tommy Thompson, birthPlace, Elroy, Wisconsin]
  • A. Elkhorn, Wisconsin
    Elkhorn, Wisconsin is a small city in southeastern Wisconsin known as the administrative and commercial hub of Walworth County.
  • B. Ellis, Wisconsin
    Ellis, Wisconsin is a small unincorporated rural community located in Portage County in central Wisconsin.
  • C. Iola, Wisconsin
    Iola, Wisconsin is a small village in central Wisconsin known for its rural character and community events such as classic car shows and local festivals.
  • D. Elroy, Wisconsin, United States chosen
    Elroy, Wisconsin, United States is a small rural city best known as the hometown of former Wisconsin governor and U.S. Health and Human Services Secretary Tommy Thompson.
  • E. Heffron, Wisconsin
    Heffron, Wisconsin is a small unincorporated rural community located within Portage County in the U.S. state of Wisconsin.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f5c1ed88190aeac131c5aff6102 completed April 29, 2026, 3:47 a.m.
Created at: April 17, 2026, 3:39 p.m.