Triple

T930128
Position Surface form Disambiguated ID Type / Status
Subject NPVIC E20071 entity
Predicate doesNotChangeDirectly P10655 FINISHED
Object number of electoral votes allocated to each state 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: number of electoral votes allocated to each state | Statement: [NPVIC, doesNotChangeDirectly, number of electoral votes allocated to each state]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: doesNotChangeDirectly
Context triple: [NPVIC, doesNotChangeDirectly, number of electoral votes allocated to each state]
  • A. doesNotChange chosen
    Indicates that one entity remains unaffected or unaltered by another entity or action.
  • B. doesNotDirectlyRegulate
    Indicates that one entity has no immediate or primary regulatory control or influence over another entity or process.
  • C. doesNotDetermine
    Indicates that one entity or factor does not uniquely fix, decide, or specify the state, value, or outcome of another.
  • D. doesNotAutomaticallyProvide
    Indicates that something is not supplied or made available by default and requires an explicit action or request to be provided.
  • E. doesNot
    Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
  • 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_69a493af3dc48190adb7263e6e445ea1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b349b3d0819090c58b4fb60c6a1b completed March 1, 2026, 9:44 p.m.
PD Predicate disambiguation batch_69a4b29876348190a29f4ff9878074a5 completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.