Triple

T15461782
Position Surface form Disambiguated ID Type / Status
Subject Son of Heaven E371917 entity
Predicate moralObligation P58495 FINISHED
Object rule with benevolence and justice 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: rule with benevolence and justice | Statement: [Son of Heaven, moralObligation, rule with benevolence and justice]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: moralObligation
Context triple: [Son of Heaven, moralObligation, rule with benevolence and justice]
  • A. moralRequirement chosen
    Indicates that one entity is obligated, on moral or ethical grounds, to perform or refrain from a particular action in relation to another entity or situation.
  • B. moralExpectation
    Indicates that one entity is expected, by moral or ethical standards, to behave in a certain way toward another entity or in a given situation.
  • C. moralImplication
    Indicates that one situation, action, or state of affairs entails or suggests a particular moral judgment, obligation, or ethical consequence.
  • D. moralCriterion
    Indicates that something is being evaluated or classified according to a standard of moral judgment or ethical rightness.
  • E. moralAttitude
    Indicates a subject’s evaluative stance or judgment about the moral rightness or wrongness of another entity, action, or situation.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f17663c8190b995c7c3129c90d6 completed April 16, 2026, 1:44 a.m.
PD Predicate disambiguation batch_69ded284bd008190b31c53b4f1cebadd completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 3:32 a.m.