Triple
T30818259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | فتح الباري بشرح صحيح البخاري |
E784843
|
entity |
| Predicate | يُطبع في |
P155220
|
FINISHED |
| Object | عدة مجلدات |
—
|
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: عدة مجلدات | Statement: [فتح الباري بشرح صحيح البخاري, يُطبع في, عدة مجلدات]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يُطبع في Context triple: [فتح الباري بشرح صحيح البخاري, يُطبع في, عدة مجلدات]
-
A.
printedInCity
Indicates that something (such as a document, book, or item) was printed in a particular city.
-
B.
isTypicallyPrinted
Indicates that something is commonly or usually produced in printed form rather than in another medium.
-
C.
printedInFormat
Indicates that something has been produced or output using a specified printing format or layout.
-
D.
printedWorkType
Indicates the specific category or format of a printed work that characterizes how it is produced or presented.
-
E.
printedInSet
chosen
Indicates that an item has been printed as part of, or included within, a particular set or collection.
- 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.