Triple
T26280759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ikhwan al-Safaʾ wa Khullan al-Wafaʾ |
E660691
|
entity |
| Predicate | epistlesDividedInto |
P99142
|
FINISHED |
| Object | psychological and rational 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: psychological and rational sciences | Statement: [Ikhwan al-Safaʾ wa Khullan al-Wafaʾ, epistlesDividedInto, psychological and rational sciences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: epistlesDividedInto Context triple: [Ikhwan al-Safaʾ wa Khullan al-Wafaʾ, epistlesDividedInto, psychological and rational 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_69f60e740b208190aa72953e32ab9ebf |
completed | May 2, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69f60b874cc88190a487230abb69efea |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 26, 2026, 10 p.m.