Triple
T25861072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الطريقة القادرية |
E651477
|
entity |
| Predicate | تستخدم |
P121568
|
FINISHED |
| Object | مجالس الذكر الجماعي |
—
|
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: مجالس الذكر الجماعي | Statement: [الطريقة القادرية, تستخدم, مجالس الذكر الجماعي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تستخدم Context triple: [الطريقة القادرية, تستخدم, مجالس الذكر الجماعي]
-
A.
используетсяС
chosen
Indicates that something is used together with or by means of another entity.
-
B.
usedFor
Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
-
C.
usedWith
Indicates that one entity is typically or appropriately employed together with another entity in a combined or complementary use.
-
D.
exportUse
Indicates that something is used, intended, or suitable for export from one place or market to another.
-
E.
usedVia
Indicates that an entity performs or achieves something by means of, or through the use of, another entity or mechanism.
- 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_69e7ab3a199c81909227cb964cacfe24 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6026b467c8190a1f8be336f8679da |
completed | May 2, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 22, 2026, 8:05 a.m.