Triple

T26390844
Position Surface form Disambiguated ID Type / Status
Subject Dowdall system E663406 entity
Predicate scoreComputation P160588 FINISHED
Object each voter contributes 1/k to candidate ranked k-th 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: each voter contributes 1/k to candidate ranked k-th | Statement: [Dowdall system, scoreComputation, each voter contributes 1/k to candidate ranked k-th]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scoreComputation
Context triple: [Dowdall system, scoreComputation, each voter contributes 1/k to candidate ranked k-th]
  • A. scoreAssignment
    Indicates evaluating and assigning a grade or numerical score to an assignment.
  • B. scoring
    Indicates the act of achieving points or a measurable result, typically by successfully completing an action that contributes to a score or outcome.
  • C. scoresWhen
    Indicates that one entity achieves a score or points at the time or under the condition specified by another entity or event.
  • D. scoreScale
    Indicates the scale or range on which a score or rating is expressed or measured.
  • E. scores
    Indicates that one entity achieves or is assigned a numerical result, rating, or points in relation to another entity, such as a test, game, or evaluation.
  • 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_69ee88374adc81909868f3bab374a32f completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f610bf1e248190a186aed862513478 completed May 2, 2026, 2:57 p.m.
PD Predicate disambiguation batch_69f602d2ec748190ae95154f34c7878f completed May 2, 2026, 1:57 p.m.
PDg Predicate description generation batch_69f6037bf7a081908862a8359be80cf8 completed May 2, 2026, 2 p.m.
Created at: April 26, 2026, 11:25 p.m.