Triple

T96242
Position Surface form Disambiguated ID Type / Status
Subject congressional district method E1937 entity
Predicate supportsClaim P4133 FINISHED
Object more granular representation of voter preferences 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: more granular representation of voter preferences | Statement: [congressional district method, supportsClaim, more granular representation of voter preferences]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsClaim
Context triple: [congressional district method, supportsClaim, more granular representation of voter preferences]
  • A. supportsPolicy
    Indicates that one entity endorses, backs, or is in favor of a particular policy or set of policies.
  • B. supportsActivity
    Indicates that one entity provides the necessary conditions, resources, or environment for another entity’s activity to occur or be sustained.
  • C. supportsFeature
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • D. supportsDiscipline
    Indicates that one entity provides assistance, resources, or endorsement that helps sustain or advance a particular discipline.
  • E. support
    Indicates that one entity provides assistance, endorsement, or backing to another entity or its actions.
  • 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_69a24d4862f881908cc8b89d3a78031d completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a250cb400c8190b56343bbe19b48c7 completed Feb. 28, 2026, 2:19 a.m.
PD Predicate disambiguation batch_69a24ebd19c48190bab291fea0ecc0c2 completed Feb. 28, 2026, 2:11 a.m.
PDg Predicate description generation batch_69a250ca7eec8190b31f7e61f5e3ee1f completed Feb. 28, 2026, 2:19 a.m.
Created at: Feb. 28, 2026, 2:09 a.m.