Triple
T30905033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | بدر الدين العيني |
E787275
|
entity |
| Predicate | أسلوب_التأليف |
P27486
|
FINISHED |
| Object | الشرح الموسوعي والتحليل الفقهي والحديثي |
—
|
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: الشرح الموسوعي والتحليل الفقهي والحديثي | Statement: [بدر الدين العيني, أسلوب_التأليف, الشرح الموسوعي والتحليل الفقهي والحديثي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: أسلوب_التأليف Context triple: [بدر الدين العيني, أسلوب_التأليف, الشرح الموسوعي والتحليل الفقهي والحديثي]
-
A.
mannerOfWriting
Indicates the way or style in which something is written or expressed in writing.
-
B.
authorStyle
chosen
Indicates the stylistic characteristics or manner of expression associated with a particular author in their works.
-
C.
stylisticElement
Indicates a relationship where one entity functions as a stylistic feature, device, or characteristic that shapes the expressive or aesthetic quality of another entity.
-
D.
rhetoricalStyle
Indicates the characteristic manner or technique of expression used in communication, such as tone, structure, and persuasive strategies.
-
E.
fieldOfWriting
Indicates that one entity is the domain, genre, or subject area in which another entity writes or produces written work.
- 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_69f224bcbcb48190836df847424e4057 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6927dd38081909f32b60565283795 |
completed | May 3, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69f68b7ec098819080480998038de940 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:50 p.m.