Triple
T32838507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | مفدي زكريا |
E839899
|
entity |
| Predicate | أسلوب_أدبي |
P64255
|
FINISHED |
| Object | الشعر العمودي |
—
|
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: الشعر العمودي | Statement: [مفدي زكريا, أسلوب_أدبي, الشعر العمودي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: أسلوب_أدبي Context triple: [مفدي زكريا, أسلوب_أدبي, الشعر العمودي]
-
A.
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.
-
B.
artisticStyle
Indicates the artistic movement, style, or aesthetic approach that characterizes how something is created or visually expressed.
-
C.
rhetoricalStyle
Indicates the characteristic manner or technique of expression used in communication, such as tone, structure, and persuasive strategies.
-
D.
poeticStyle
chosen
Indicates the stylistic or formal manner in which something is expressed in poetry, such as its structure, tone, and linguistic features.
-
E.
stylisticFocus
Indicates a relationship where something is primarily concerned with, emphasizes, or is characterized by a particular style or set of stylistic features.
- 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_69f3493ff0888190b51e974eae2a7834 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce6d659881909ddcec1d2966e020 |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:16 a.m.