Triple

T35480
Position Surface form Disambiguated ID Type / Status
Subject Ten Commandments E701 entity
Predicate ethicalRole P1192 FINISHED
Object summary of Judeo-Christian moral duties 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: summary of Judeo-Christian moral duties | Statement: [Ten Commandments, ethicalRole, summary of Judeo-Christian moral duties]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ethicalRole
Context triple: [Ten Commandments, ethicalRole, summary of Judeo-Christian moral duties]
  • A. ethicalDebate
    Indicates a relationship where parties are engaged in discussing, questioning, or disputing the moral rightness or wrongness of actions, policies, or principles.
  • B. role
    Indicates the function, position, or responsibility that one entity holds in relation to another within a given context.
  • C. hasEthicalTeaching chosen
    Indicates that one entity provides, promotes, or embodies instruction or guidance related to ethical principles, values, or moral conduct for another entity.
  • D. responsibleFor
    Indicates that one entity has a duty, obligation, or role to manage, oversee, or be accountable for another entity or outcome.
  • E. victimOccupation
    Indicates the profession or job role held by the person who is the victim in an event or incident.
  • 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_69a2479dec388190967ba648663442c9 completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24989c3308190af59dfae37cfc32f completed Feb. 28, 2026, 1:48 a.m.
PD Predicate disambiguation batch_69a24873e97c8190b9e4279e43b6de14 completed Feb. 28, 2026, 1:44 a.m.
Created at: Feb. 28, 2026, 1:44 a.m.