Triple

T27004646
Position Surface form Disambiguated ID Type / Status
Subject 金光教 E680207 entity
Predicate 倫理的教え P25343 FINISHED
Object 感謝と報恩 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: 感謝と報恩 | Statement: [金光教, 倫理的教え, 感謝と報恩]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 倫理的教え
Context triple: [金光教, 倫理的教え, 感謝と報恩]
  • A. derivesMoralityFrom
    Indicates that one entity bases or grounds its moral principles, judgments, or ethical framework on another entity.
  • B. moralPhilosophy
    Indicates a relationship where an entity is concerned with, studies, or is characterized by principles, theories, or systems of moral philosophy or ethics.
  • C. moralCriterion
    Indicates that something is being evaluated or classified according to a standard of moral judgment or ethical rightness.
  • D. moralTheme chosen
    Indicates that a work, event, or situation embodies or conveys a particular ethical lesson, value, or moral principle.
  • E. moralBelief
    Indicates that an agent holds a normative judgment about what is right, wrong, good, or bad in a given context.
  • 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_69eeeb52908c8190bd246244686aa455 completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f625411c14819086492062e86ba8d5 completed May 2, 2026, 4:24 p.m.
PD Predicate disambiguation batch_69f623a91b9c8190b2e2fdbc55cb89b6 completed May 2, 2026, 4:17 p.m.
Created at: April 27, 2026, 7 a.m.