Triple

T24887513
Position Surface form Disambiguated ID Type / Status
Subject APSA State Politics and Policy Section Awards E622897 entity
Predicate evaluationBasedOn P17142 FINISHED
Object scholarly quality 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: scholarly quality | Statement: [APSA State Politics and Policy Section Awards, evaluationBasedOn, scholarly quality]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: evaluationBasedOn
Context triple: [APSA State Politics and Policy Section Awards, evaluationBasedOn, scholarly quality]
  • A. evaluationBasis chosen
    Indicates the criteria, standards, or reference framework used to judge, assess, or measure something in an evaluation process.
  • B. evaluationModel
    Indicates a relationship where one entity serves as a model, standard, or framework used to assess, judge, or measure the performance or quality of another entity.
  • C. assessmentBasis
    Indicates the underlying criteria, evidence, or method used as the foundation for making an assessment or evaluation between entities.
  • D. evaluationAspect
    Indicates the specific dimension or criterion of performance or quality that is being assessed within an evaluation.
  • E. evaluationUse
    Indicates that something is used as a basis, tool, or resource for evaluating or assessing something else.
  • 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_69e2fac4aa848190b3446a3922cec150 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f43043512481909501a3979cac9947 completed May 1, 2026, 4:46 a.m.
PD Predicate disambiguation batch_69f420fd375c81908ea4a4e60b76ee8f completed May 1, 2026, 3:41 a.m.
Created at: April 18, 2026, 5:25 a.m.