Triple

T20450888
Position Surface form Disambiguated ID Type / Status
Subject Christian Science Quarterly Bible Lessons E501646 entity
Predicate readingCycle P7825 FINISHED
Object recurring subjects and themes 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: recurring subjects and themes | Statement: [Christian Science Quarterly Bible Lessons, readingCycle, recurring subjects and themes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: readingCycle
Context triple: [Christian Science Quarterly Bible Lessons, readingCycle, recurring subjects and themes]
  • A. readingsCycle chosen
    Indicates that there is a recurring or cyclical pattern in the readings associated with an entity or process.
  • B. narrativeCycle
    Indicates a recurring or structured sequence of narrative events or themes that repeat or progress in a cyclical pattern within a story or across stories.
  • C. readingContext
    Indicates the situational or surrounding information (such as location, time, or medium) within which a reading activity or act of reading takes place.
  • D. visibilityCycle
    Indicates a recurring pattern in which something alternates between being visible and not visible over time.
  • E. evaluationCycle
    Indicates the recurring period or sequence in which evaluations or assessments are conducted and reviewed.
  • 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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68d0145d881908587b56c52aeea09 completed April 20, 2026, 8:30 p.m.
PD Predicate disambiguation batch_69e57679eb40819086142df3e39c928e completed April 20, 2026, 12:42 a.m.
Created at: April 16, 2026, 11:32 a.m.