Triple

T22851582
Position Surface form Disambiguated ID Type / Status
Subject Cheng-Zhu school E566367 entity
Predicate explainsMoralFailureAs P149952 FINISHED
Object obstruction by qi (material force) 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: obstruction by qi (material force) | Statement: [Cheng-Zhu school, explainsMoralFailureAs, obstruction by qi (material force)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: explainsMoralFailureAs
Context triple: [Cheng-Zhu school, explainsMoralFailureAs, obstruction by qi (material force)]
  • A. moralFailing
    Indicates that an entity exhibits a flaw or shortcoming in moral character or ethical behavior.
  • B. moralJustification
    Indicates that an action, decision, or state is regarded as ethically right, acceptable, or defensible according to a moral standard.
  • C. moralOutcome
    Indicates the moral or ethical status resulting from an action, event, or decision, such as whether it is judged right, wrong, good, or bad.
  • D. moralImplication
    Indicates that one situation, action, or state of affairs entails or suggests a particular moral judgment, obligation, or ethical consequence.
  • E. derivesMoralityFrom
    Indicates that one entity bases or grounds its moral principles, judgments, or ethical framework on another entity.
  • F. None of above. chosen

Provenance (4 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_69e2458750b481908a8e4cf4609cc6cf completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17eb8b3588190b2bc8e7021f9ef10 completed April 29, 2026, 3:44 a.m.
PD Predicate disambiguation batch_69eed2d507c08190895ed971af0fc755 completed April 27, 2026, 3:07 a.m.
PDg Predicate description generation batch_69eeeb577e2081909f4a4e9c296535c0 completed April 27, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:36 p.m.