Triple

T3349669
Position Surface form Disambiguated ID Type / Status
Subject Cynic school E70458 entity
Predicate attitudeTowardReligion P36791 FINISHED
Object skepticism toward traditional religious practices 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: skepticism toward traditional religious practices | Statement: [Cynic school, attitudeTowardReligion, skepticism toward traditional religious practices]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: attitudeTowardReligion
Context triple: [Cynic school, attitudeTowardReligion, skepticism toward traditional religious practices]
  • A. religiousAttitude chosen
    Indicates an entity’s stance, disposition, or orientation toward religion or religious beliefs.
  • B. religiousAffiliation
    Indicates that one entity has a specified religious association, belief system, or denominational membership.
  • C. attitudeToSectarianism
    Indicates an entity’s stance or disposition toward sectarianism, such as support, opposition, or neutrality.
  • D. declaredReligion
    Indicates that an entity has formally stated or reported a particular religious affiliation.
  • 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_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb21f3ae48190a33530712da01bc3 completed March 8, 2026, 5:30 p.m.
PD Predicate disambiguation batch_69ada42df1d48190874bb05f95deefde completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:12 p.m.