Triple

T3105250
Position Surface form Disambiguated ID Type / Status
Subject Anti-Machiavel E64814 entity
Predicate viewOfReligion P6264 FINISHED
Object religion is useful for morality and social order 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: religion is useful for morality and social order | Statement: [Anti-Machiavel, viewOfReligion, religion is useful for morality and social order]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: viewOfReligion
Context triple: [Anti-Machiavel, viewOfReligion, religion is useful for morality and social order]
  • A. positionInReligion
    Indicates the specific role, rank, or office an entity holds within a religious organization or tradition.
  • B. hadViewOnReligion chosen
    Indicates that an entity held a particular perspective, belief, or stance regarding religion.
  • C. religiousTarget
    Indicates that an action, policy, or behavior is directed at someone or something specifically because of their religion or religious affiliation.
  • D. recognizesReligion
    Indicates that one entity formally acknowledges or accepts another entity as a valid or legitimate religion.
  • E. bearerReligion
    Indicates that a bearer (such as a person or entity) adheres to, practices, or is associated with a particular religion.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada29a90e88190afb8a10291ef1946 completed March 8, 2026, 4:23 p.m.
PD Predicate disambiguation batch_69ad9df25d4c81908ff0f6cff55d0563 completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:03 p.m.