Triple
T1316996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | As-Samad |
E28126
|
entity |
| Predicate | recitationContext |
P2919
|
FINISHED |
| Object | Used in dhikr |
—
|
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: Used in dhikr | Statement: [As-Samad, recitationContext, Used in dhikr]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recitationContext Context triple: [As-Samad, recitationContext, Used in dhikr]
-
A.
recitationTradition
Indicates a relationship where a text, work, or content is transmitted or performed according to a particular established style, method, or lineage of recitation.
-
B.
contextOf
chosen
Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
-
C.
context
Indicates that one entity provides the surrounding circumstances, setting, or background within which another entity, event, or statement occurs or is interpreted.
-
D.
notRecitedOn
Indicates that a particular text, prayer, or recitation was not performed or spoken on a specified occasion, time, or context.
-
E.
recurs
Indicates that an event, condition, or pattern happens again, often repeatedly or at regular intervals, after having occurred before.
- 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_69a498532c3481909223b74af2e578df |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c175079481909077cf11ed72d6fa |
completed | March 1, 2026, 10:45 p.m. |
| PD | Predicate disambiguation | batch_69a4beebcb348190964bd7215811942c |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:55 p.m.