Triple
T38277945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Nabigha al-Dhubyani |
E1022009
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Arabic-language poet |
C25938
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: Arabic-language poet Context triple: [Al-Nabigha al-Dhubyani, instanceOf, Arabic-language poet]
-
A.
Arab poet
chosen
An Arab poet is a literary artist from the Arab world who composes poetry in Arabic, drawing on its rich linguistic, cultural, and historical traditions to express emotion, thought, and social experience.
-
B.
Iranian poet
An Iranian poet is a literary artist from Iran who composes poetry—often in Persian or regional languages—drawing on the country’s rich cultural, historical, and mystical traditions to express emotional, philosophical, and social themes.
-
C.
Arabic-language writer
An Arabic-language writer is an individual who composes literary, journalistic, academic, or other written works primarily in the Arabic language, engaging with its linguistic, cultural, and intellectual traditions.
-
D.
Divan poet
A Divan poet is a writer of highly formalized, often mystical and courtly lyric poetry in the classical Ottoman, Persian, or related Islamic literary traditions, typically composed in strict metrical and rhetorical patterns for inclusion in a collected volume called a divan.
-
E.
Chagatai-language poet
A Chagatai-language poet is a literary figure who composes poetry in Chagatai, a historical Turkic language once used as a major literary and cultural medium in Central Asia.
- F. None of above.
Provenance (1 batch)
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_69f76df0cddc81908d16c1556ff4097f |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:30 p.m.