Triple

T2609968
Position Surface form Disambiguated ID Type / Status
Subject Five Precepts E58749 entity
Predicate secondPrecept P41383 FINISHED
Object abstaining from taking what is not given 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: abstaining from taking what is not given | Statement: [Five Precepts, secondPrecept, abstaining from taking what is not given]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: secondPrecept
Context triple: [Five Precepts, secondPrecept, abstaining from taking what is not given]
  • A. secondTemptation
    Indicates a relationship where an entity is subjected to or engages in a second instance of temptation, following an initial tempting event.
  • B. secondedBy
    Indicates that an initial proposal, motion, or action by one entity is formally supported or endorsed by another entity as a second.
  • C. secondPhase
    Indicates that an entity is in, or has progressed to, the second phase or stage of a multi-phase process or sequence.
  • D. secondaryTo
    Indicates that one condition, event, or factor occurs as a consequence of, or is caused by, another primary condition, event, or factor.
  • E. secondStage
    Indicates that something functions as the subsequent or follow-up stage in a multi-stage process or sequence.
  • 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_69ab4ac3523881909679750c9f8c2dec completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd89325308190985598373eb0d296 completed March 7, 2026, 7:49 a.m.
PD Predicate disambiguation batch_69abd80cd7fc81909e9696db2919129f completed March 7, 2026, 7:47 a.m.
PDg Predicate description generation batch_69abd891bcd481909af5340a64ff69f9 completed March 7, 2026, 7:49 a.m.
Created at: March 6, 2026, 9:50 p.m.