Triple

T18968370
Position Surface form Disambiguated ID Type / Status
Subject difference principle E464100 entity
Predicate evaluatedInTermsOf P17142 FINISHED
Object social primary goods 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: social primary goods | Statement: [difference principle, evaluatedInTermsOf, social primary goods]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: evaluatedInTermsOf
Context triple: [difference principle, evaluatedInTermsOf, social primary goods]
  • A. evaluationBasis chosen
    Indicates the criteria, standards, or reference framework used to judge, assess, or measure something in an evaluation process.
  • B. evaluationAspect
    Indicates the specific dimension or criterion of performance or quality that is being assessed within an evaluation.
  • C. formulatedInTermsOf
    Indicates that one concept, statement, or representation is expressed, defined, or described using the language, framework, or components of another.
  • D. isEvaluative
    Indicates that one entity expresses a judgment, assessment, or value-based evaluation about another entity or situation.
  • E. 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.
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6172888819090a8b3cb1db20496 completed April 20, 2026, 7:30 a.m.
PD Predicate disambiguation batch_69e4a2f437648190b85650dae8885d48 completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, noon