Triple

T31120502
Position Surface form Disambiguated ID Type / Status
Subject Wisconsin congressional delegation E793208 entity
Predicate senatorRepresents P39037 FINISHED
Object entire state of Wisconsin LITERAL 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: entire state of Wisconsin | Statement: [Wisconsin congressional delegation, senatorRepresents, entire state of Wisconsin]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: senatorRepresents
Context triple: [Wisconsin congressional delegation, senatorRepresents, entire state of Wisconsin]
  • A. countyRepresented
    Indicates that a person or representative serves as the official representative for a particular county in a governing or organizational context.
  • B. NLRepresentative
    Indicates a relationship where one entity serves as an official representative or delegate for another within the Netherlands.
  • C. ALRepresentative
    Indicates that one entity serves as an official representative or delegate acting on behalf of another entity.
  • D. federalRepresentative
    Indicates that one entity serves as an official representative of another entity at the federal (national) level of government.
  • E. representativeOfState chosen
    Indicates that an entity serves as an official representative or agent acting on behalf of a particular state or government.
  • F. None of above.

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_69f224d0a7688190af3fe3e6e26d01ed completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6b49436b0819094e21603054d05d4 completed May 3, 2026, 2:36 a.m.
PD Predicate disambiguation batch_69f6b3a7bdb481908d16a32f49e38c2c completed May 3, 2026, 2:32 a.m.
Created at: April 29, 2026, 9:04 p.m.