Triple
T30818351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | القسطلاني |
E784845
|
entity |
| Predicate | نوع_الشرح |
P87653
|
FINISHED |
| Object | شرح موسوعي لصحيح البخاري |
—
|
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: شرح موسوعي لصحيح البخاري | Statement: [القسطلاني, نوع_الشرح, شرح موسوعي لصحيح البخاري]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: نوع_الشرح Context triple: [القسطلاني, نوع_الشرح, شرح موسوعي لصحيح البخاري]
-
A.
له_شروح
chosen
Indicates that something (typically a text, concept, or work) has one or more explanations or commentaries associated with it.
-
B.
شرحه
Indicates that one entity explains, interprets, or clarifies something to another entity.
-
C.
نوع_التفسير
Indicates the specific type or category of interpretation being applied to something.
-
D.
theoryType
Indicates the classification relationship that specifies what type or category of theory an entity belongs to.
-
E.
typeOfTeaching
Indicates the specific method or style of teaching used in an instructional context.
- 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_69f224b4eda48190bd212ce4f3901e56 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6906ad50481909a700664e0b70fb0 |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:44 p.m.