Triple
T24989180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | نظامی گنجوی |
E625401
|
entity |
| Predicate | مذهب منسوب |
P52406
|
FINISHED |
| Object | اسلام |
—
|
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: اسلام | Statement: [نظامی گنجوی, مذهب منسوب, اسلام]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مذهب منسوب Context triple: [نظامی گنجوی, مذهب منسوب, اسلام]
-
A.
madhhab
chosen
Indicates the school of thought or legal tradition within a broader religious or jurisprudential system that an entity follows or is associated with.
-
B.
religiousBranchOf
Indicates that one religion, denomination, or sect is a subdivision or offshoot of a larger parent religious tradition.
-
C.
تتبع_عقيدة
Indicates that one entity follows, adheres to, or subscribes to a particular doctrine or creed associated with another entity.
-
D.
الديانة
Indicates the religious affiliation or faith tradition that an entity follows or is associated with.
-
E.
traditionOrMovement
Indicates that one entity is a tradition, school, or movement associated with, derived from, or belonging to 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_69e2ff2611c081908710457fbe6d376b |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f44a42f61c8190bcb01ceec1f889b1 |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 6:03 a.m.