Triple
T30818306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عمدة القاري |
E784844
|
entity |
| Predicate | عنوانه الكامل |
P64384
|
FINISHED |
| Object | عمدة القاري في شرح صحيح البخاري |
—
|
NE NERFINISHED |
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: عمدة القاري في شرح صحيح البخاري | Statement: [عمدة القاري, عنوانه الكامل, عمدة القاري في شرح صحيح البخاري]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: عنوانه الكامل Context triple: [عمدة القاري, عنوانه الكامل, عمدة القاري في شرح صحيح البخاري]
-
A.
títuloCompleto
chosen
Indicates that one entity is the full or complete title (including all its components or formal wording) associated with another entity.
-
B.
originalTitleName
Indicates that one entity is the original or primary title name associated with another entity.
-
C.
titleInEnglish
Indicates that an entity’s title or name is given in the English language.
-
D.
containsTitle
Indicates that one entity includes or holds another entity’s title as part of its content or metadata.
-
E.
سبب التسمية
Indicates the reason or cause behind assigning a particular name to something.
- 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_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:44 p.m.