Triple

T27916158
Position Surface form Disambiguated ID Type / Status
Subject Edward Schempp E706078 entity
Predicate religiousContextOfCase P9028 FINISHED
Object Bible reading in public schools 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: Bible reading in public schools | Statement: [Edward Schempp, religiousContextOfCase, Bible reading in public schools]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousContextOfCase
Context triple: [Edward Schempp, religiousContextOfCase, Bible reading in public schools]
  • A. religiousJurisdiction
    Indicates that one entity holds official religious authority or governance over another entity or area.
  • B. religiousLawView
    Indicates a person's stance, interpretation, or opinion regarding a particular religious law or set of religious legal principles.
  • C. religiousLawAspect
    Indicates that one entity represents a specific aspect, dimension, or component of a religious law associated with another entity.
  • D. religiousContextHypothesis
    Indicates that a given statement, event, or interpretation is being proposed or evaluated specifically within a religious or faith-based context.
  • E. religiousCulturalContext chosen
    Indicates the religious or cultural setting, tradition, or framework within which an entity, practice, or event occurs or is interpreted.
  • 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_69ef96b6cc808190aab19fb18b235f4b completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69fd05ba6b2c81909c62b46237d10365 completed May 7, 2026, 9:35 p.m.
PD Predicate disambiguation batch_69fd03039e48819082b6e12c5453885a completed May 7, 2026, 9:24 p.m.
Created at: April 27, 2026, 6:53 p.m.