Triple

T735044
Position Surface form Disambiguated ID Type / Status
Subject United States politics E14910 entity
Predicate hasElectionType P19539 FINISHED
Object presidential election 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: presidential election | Statement: [United States politics, hasElectionType, presidential election]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasElectionType
Context triple: [United States politics, hasElectionType, presidential election]
  • A. appliesToElectionType
    Indicates that a rule, condition, or attribute is relevant or applicable to a specific type or category of election.
  • B. hasElectionsFor
    Indicates that a governing body, jurisdiction, or organization conducts elections to select or appoint members to a specified office, role, or representative body.
  • C. hasElectionFraction
    Indicates that a specified portion or fraction of the total vote or electorate is associated with a particular election-related entity or outcome.
  • D. hasElectorate
    Indicates that a political representative, office, or governing body is associated with and serves a specific group of voters or electoral district.
  • E. hasNomineeType
    Indicates that an entity has a nominee belonging to a specified type or category.
  • F. None of above. chosen

Provenance (4 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a66820548190b373deb117187c2c completed March 1, 2026, 8:49 p.m.
PD Predicate disambiguation batch_69a4a4fafee081909bf356854c09aaff completed March 1, 2026, 8:43 p.m.
PDg Predicate description generation batch_69a4a66658948190bdae6e521951954f completed March 1, 2026, 8:49 p.m.
Created at: March 1, 2026, 7:37 p.m.