Triple
T24307907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | القدوس |
E612583
|
entity |
| Predicate | يُفهم ضمن |
P106362
|
FINISHED |
| Object | عقيدة التوحيد في الإسلام |
—
|
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: عقيدة التوحيد في الإسلام | Statement: [القدوس, يُفهم ضمن, عقيدة التوحيد في الإسلام]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يُفهم ضمن Context triple: [القدوس, يُفهم ضمن, عقيدة التوحيد في الإسلام]
-
A.
understands
Indicates that one entity comprehends, grasps the meaning of, or correctly interprets information, ideas, or expressions associated with another entity.
-
B.
comprende
chosen
Indicates that one entity includes, contains, or encompasses another as a part or component.
-
C.
betterUnderstoodAs
Indicates that one concept, term, or representation is more accurately or clearly interpreted when viewed as another specified concept, term, or representation.
-
D.
canBeUnderstoodBy
Indicates that something is comprehensible or interpretable to a particular entity or group.
-
E.
underlies
Indicates that one entity serves as a fundamental basis, support, or underlying cause for another entity, condition, or phenomenon.
- 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_69e2d7d91bb48190bc5377d17a85fb21 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2922821248190a1b274f839251ddc |
completed | April 29, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 1:31 a.m.