Triple

T29943946
Position Surface form Disambiguated ID Type / Status
Subject United States Senate election in Connecticut, 2022 E760579 entity
Predicate blumenthalTermNumber P156211 FINISHED
Object 3 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: 3 | Statement: [United States Senate election in Connecticut, 2022, blumenthalTermNumber, 3]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: blumenthalTermNumber
Context triple: [United States Senate election in Connecticut, 2022, blumenthalTermNumber, 3]
  • A. representedInCongressBy
    Indicates that one entity serves as the official congressional representative (e.g., legislator) for another entity (such as a person, group, or geographic area).
  • B. representedInCongressSince
    Indicates that an entity has served as a representative in a legislative congress continuously since a specified date or time.
  • C. legislativeTermNumber
    Indicates the ordinal number assigned to a specific legislative term within a sequence of legislative periods.
  • D. wasARepresentativeFor
    Indicates that one entity served as an official representative or delegate acting on behalf of another entity.
  • E. numberOfTermsInCongress chosen
    Indicates how many distinct terms an individual has served as a member of a legislative congress.
  • 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_69f22463f3648190a603c3ff305c660b completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6780a76b0819091e8781ee21191ac completed May 2, 2026, 10:17 p.m.
PD Predicate disambiguation batch_69f66ec8298c8190b41fe9d182c05676 completed May 2, 2026, 9:38 p.m.
Created at: April 29, 2026, 6:23 p.m.