Triple

T29833527
Position Surface form Disambiguated ID Type / Status
Subject Grampound E757590 entity
Predicate disenfranchisedReason P21670 FINISHED
Object corruption 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: corruption | Statement: [Grampound, disenfranchisedReason, corruption]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: disenfranchisedReason
Context triple: [Grampound, disenfranchisedReason, corruption]
  • A. reasonForVeto
    Indicates the specific justification or grounds given for issuing a veto.
  • B. excludedFromPoliticalRights
    Indicates that an entity is denied or deprived of participation in political rights, such as voting, holding office, or engaging in formal political decision-making.
  • C. excludedFromSuffrage chosen
    Indicates that certain individuals or groups are denied the right to vote in a political or electoral process.
  • D. byElectionReason
    Indicates the reason or cause for which a by-election is being held.
  • E. reasonForNoBallot
    Indicates the reason or explanation for why no ballot was issued, available, or cast in a given voting context.
  • 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_69f22457c84c8190a6d9f56bc74082a9 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6759e51c48190b9a192d964343c16 completed May 2, 2026, 10:07 p.m.
PD Predicate disambiguation batch_69f66ac32b60819092290b2de35988d3 completed May 2, 2026, 9:21 p.m.
Created at: April 29, 2026, 5:35 p.m.