Triple

T26280760
Position Surface form Disambiguated ID Type / Status
Subject Ikhwan al-Safaʾ wa Khullan al-Wafaʾ E660691 entity
Predicate epistlesDividedInto P99142 FINISHED
Object theological and mystical sciences 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: theological and mystical sciences | Statement: [Ikhwan al-Safaʾ wa Khullan al-Wafaʾ, epistlesDividedInto, theological and mystical sciences]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: epistlesDividedInto
Context triple: [Ikhwan al-Safaʾ wa Khullan al-Wafaʾ, epistlesDividedInto, theological and mystical sciences]
  • A. numberOfEpistles
    Indicates the total count of epistles (letters) associated with a given entity.
  • B. epistleNumber
    Indicates the specific numerical designation assigned to an epistle within a sequence or collection of epistles.
  • C. traditionalEpistleReading
    Indicates that an epistle passage is the customary or historically established reading for a particular liturgical occasion or context.
  • D. describesPaulineLettersAs
    Indicates that a subject characterizes, labels, or portrays something specifically as Pauline letters.
  • E. dividedIn chosen
    Indicates that one entity is partitioned or separated into multiple distinct parts, sections, or groups represented by another entity.
  • 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_69ee812960d081909cff6085cc9fa3a6 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f612607c388190ab61d1ac7d18e08d completed May 2, 2026, 3:04 p.m.
PD Predicate disambiguation batch_69f611a9272881909093360472be832c completed May 2, 2026, 3 p.m.
Created at: April 26, 2026, 10 p.m.