Triple

T30236099
Position Surface form Disambiguated ID Type / Status
Subject 2014 United States House of Representatives elections E768769 entity
Predicate includesSpecialElections P194261 FINISHED
Object true 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: true | Statement: [2014 United States House of Representatives elections, includesSpecialElections, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesSpecialElections
Context triple: [2014 United States House of Representatives elections, includesSpecialElections, true]
  • A. hasSpecialElectionIn chosen
    Indicates that a special election is held within a specified political or geographic jurisdiction.
  • B. canHoldSpecialElections
    Indicates that an entity has the authority or ability to conduct special elections outside the regular election schedule.
  • C. includesElectionsIn
    Indicates that one entity (such as a document, dataset, or process) encompasses, covers, or contains elections that occur within the scope or domain of another entity.
  • D. canBeFilledBySpecialElection
    Indicates that a vacant position or office is eligible to be filled through a special election process rather than a regular or scheduled election.
  • E. includesCaucuses
    Indicates that one entity contains or encompasses caucus groups or caucus-related components within 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_69f224820c048190b1435c4cc145acf1 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_6a0062e6bd788190a7b4f3e5befb5cbb completed May 10, 2026, 10:50 a.m.
PD Predicate disambiguation batch_6a0061989d188190b4815b2de3e8676f completed May 10, 2026, 10:44 a.m.
Created at: April 29, 2026, 7:37 p.m.