Triple

T96239
Position Surface form Disambiguated ID Type / Status
Subject congressional district method E1937 entity
Predicate proposedFor P32 FINISHED
Object Electoral College reform 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: Electoral College reform | Statement: [congressional district method, proposedFor, Electoral College reform]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: proposedFor
Context triple: [congressional district method, proposedFor, Electoral College reform]
  • A. proposes chosen
    Indicates that one entity formally suggests or puts forward an idea, plan, or course of action to another entity for consideration or approval.
  • B. appointedFor
    Indicates that an entity has been officially assigned or designated to perform a specific role, task, or function for another entity or purpose.
  • C. providedFor
    Indicates that one entity supplies, furnishes, or makes something available to or on behalf of another entity for its use or benefit.
  • D. proposedByBody
    Indicates that something (such as a decision, measure, or action) has been formally put forward or initiated by a specific governing or organizational body.
  • E. proposalDate
    Indicates the date on which a proposal is formally made or submitted from one entity to another.
  • 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_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.
Created at: Feb. 28, 2026, 2:09 a.m.