Triple

T7845014
Position Surface form Disambiguated ID Type / Status
Subject Vermont at-large congressional district E181901 entity
Predicate hasFederalElectionsEvery P22629 FINISHED
Object 2 years 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: 2 years | Statement: [Vermont at-large congressional district, hasFederalElectionsEvery, 2 years]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFederalElectionsEvery
Context triple: [Vermont at-large congressional district, hasFederalElectionsEvery, 2 years]
  • A. hasElectionsFor
    Indicates that a governing body, jurisdiction, or organization conducts elections to select or appoint members to a specified office, role, or representative body.
  • B. hasFederalElectorate
    Indicates that an entity is associated with a specific federal electoral district that represents it in a national legislative body.
  • C. hasRegularElections chosen
    Indicates that a governing body or political entity holds elections at consistent, scheduled intervals according to established rules or norms.
  • D. hasElection
    Indicates that an entity conducts, holds, or is associated with an election event.
  • E. hasByElections
    Indicates that one entity conducts, experiences, or is associated with one or more by-elections in relation to another contextual entity (such as a jurisdiction, office, or time period).
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb163d92fc8190a4efcb08d6b3d404 completed March 31, 2026, 12:33 a.m.
PD Predicate disambiguation batch_69cae91e98988190abd4ece75932c589 completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 4:48 p.m.