Triple

T31757394
Position Surface form Disambiguated ID Type / Status
Subject Democrats approached filibuster-proof majority E810588 entity
Predicate conceptInvolved P1256 FINISHED
Object filibuster 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: filibuster | Statement: [Democrats approached filibuster-proof majority, conceptInvolved, filibuster]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: conceptInvolved
Context triple: [Democrats approached filibuster-proof majority, conceptInvolved, filibuster]
  • A. hasConceptualInvolvementBy
    Indicates that something is conceptually influenced, shaped, or defined by the ideas, theories, or mental contributions of a particular agent or source.
  • B. definitionInvolves
    Indicates that the meaning or explanation of one concept necessarily includes or depends on another concept.
  • C. involves chosen
    Indicates that an entity participates in, is a part of, or is implicated within a particular event, process, or relationship.
  • D. constantInvolved
    Indicates that a constant participates in or is directly involved in the specified relation, operation, or context.
  • E. detailsConcept
    Indicates that one entity provides additional information, clarification, or elaboration about a concept represented by another entity.
  • 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_69f348e340d48190b780fae618c51464 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f74062b9388190b30546cf700a825c completed May 3, 2026, 12:32 p.m.
PD Predicate disambiguation batch_69f73c802b848190b61a416b7488bd96 completed May 3, 2026, 12:16 p.m.
Created at: April 30, 2026, 11:29 p.m.