Triple

T26584732
Position Surface form Disambiguated ID Type / Status
Subject Kansas elections E667175 entity
Predicate voterDisqualification P10714 FINISHED
Object certain felony convictions 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: certain felony convictions | Statement: [Kansas elections, voterDisqualification, certain felony convictions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: voterDisqualification
Context triple: [Kansas elections, voterDisqualification, certain felony convictions]
  • A. disqualificationAuthority
    Indicates the entity that has the power or official authority to disqualify another entity from a process, status, or participation.
  • B. votingRestriction
    Indicates that there is a rule or limitation affecting who can vote, how they can vote, or under what conditions voting is allowed.
  • C. eligibleVoters
    Indicates that the referenced entities are legally permitted and qualified to vote in a given election or jurisdiction.
  • D. reasonForDisqualification chosen
    Indicates the specific cause or justification for which an entity was deemed ineligible or disqualified from consideration or participation.
  • E. votersCouldRejectList
    Indicates that voters have the option or authority to reject a proposed list (such as a candidate list or item list) rather than accept or select from it.
  • 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_69ee9cfb7e548190b60a9031182f5a7e completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f614e47cdc81909786f92cc0d5965f completed May 2, 2026, 3:14 p.m.
PD Predicate disambiguation batch_69f602d7b1b0819095ddd3b5169f8ce2 completed May 2, 2026, 1:57 p.m.
Created at: April 27, 2026, 2:05 a.m.