Triple

T4027499
Position Surface form Disambiguated ID Type / Status
Subject Zoroastrianism E83625 entity
Predicate moralMaxim P25343 FINISHED
Object good thoughts, good words, good deeds 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: good thoughts, good words, good deeds | Statement: [Zoroastrianism, moralMaxim, good thoughts, good words, good deeds]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: moralMaxim
Context triple: [Zoroastrianism, moralMaxim, good thoughts, good words, good deeds]
  • A. derivesMoralityFrom
    Indicates that one entity bases or grounds its moral principles, judgments, or ethical framework on another entity.
  • 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. moralTheme chosen
    Indicates that a work, event, or situation embodies or conveys a particular ethical lesson, value, or moral principle.
  • E. moralAssociation
    Indicates a perceived ethical or moral connection between entities, such as one influencing or reflecting the moral character, values, or judgment of the other.
  • 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_69aed92e29ac819080f7a98b594fec05 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaeec44881909a6c008eeae204df completed March 9, 2026, 4:53 p.m.
PD Predicate disambiguation batch_69aef8fc78ec819092d4dab88d85a141 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:36 p.m.