Triple

T16650171
Position Surface form Disambiguated ID Type / Status
Subject Leibnizian rationalism E404581 entity
Predicate groundsEthicsIn P101571 FINISHED
Object rational understanding of the good 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: rational understanding of the good | Statement: [Leibnizian rationalism, groundsEthicsIn, rational understanding of the good]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: groundsEthicsIn
Context triple: [Leibnizian rationalism, groundsEthicsIn, rational understanding of the good]
  • A. positionOnEthics
    Indicates a stance, viewpoint, or opinion that an entity holds regarding ethical principles, issues, or practices.
  • B. ethicalPrinciples
    Indicates a relationship where certain actions, decisions, or agents are governed, guided, or constrained by specified ethical rules, norms, or moral standards.
  • C. typeOfEthicsLaw
    Indicates that a given law pertains specifically to a particular category or type within the broader domain of ethics-related legislation.
  • D. hasStrongEthics
    Indicates that an entity consistently adheres to high moral standards and principles when making decisions or taking actions.
  • E. hasEthicalIdeal chosen
    Indicates that an entity upholds or is guided by a particular ethical standard, principle, or ideal.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad85ec881909dc6a434a363dab1 completed April 18, 2026, 12:36 p.m.
PD Predicate disambiguation batch_69e319b1d7f08190b5ecb4a68c636c15 completed April 18, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:18 a.m.