Triple

T14749331
Position Surface form Disambiguated ID Type / Status
Subject Life of Numa Pompilius E346561 entity
Predicate moralPurpose P42577 FINISHED
Object to present an exemplar of virtuous rulership 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: to present an exemplar of virtuous rulership | Statement: [Life of Numa Pompilius, moralPurpose, to present an exemplar of virtuous rulership]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: moralPurpose
Context triple: [Life of Numa Pompilius, moralPurpose, to present an exemplar of virtuous rulership]
  • A. hasMoralPurpose chosen
    Indicates that an entity, action, or decision is guided by or oriented toward ethical values, principles, or morally significant goals.
  • B. moralRealization
    Indicates the recognition or coming to understand a moral truth, principle, or ethical implication about a situation or action.
  • C. moralCriterion
    Indicates that something is being evaluated or classified according to a standard of moral judgment or ethical rightness.
  • D. moralTheme
    Indicates that a work, event, or situation embodies or conveys a particular ethical lesson, value, or moral principle.
  • E. moralConcept
    Indicates that one entity represents or embodies a moral or ethical concept in relation to another.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d2e1748190b16ede681fe52872 completed April 14, 2026, 11:03 p.m.
PD Predicate disambiguation batch_69de8bf9331481909582045cd567d91f completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:30 a.m.