Triple
T21844376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khwadāy-Nāmag |
E539337
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Middle Persian prose text |
C18628
|
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: Middle Persian prose text Context triple: [Khwadāy-Nāmag, instanceOf, Middle Persian prose text]
-
A.
Middle Persian text
chosen
A Middle Persian text is a written work composed in the Middle Iranian language of the Sasanian and early Islamic periods, typically preserved in Pahlavi script or related writing systems.
-
B.
Persianate Islamic text
A Persianate Islamic text is a written work produced within the cultural sphere shaped by Persian language, literary norms, and aesthetics that engages with Islamic religious, philosophical, legal, or mystical themes.
-
C.
Avestan text
An Avestan text is a written work composed in the Avestan language, primarily comprising the sacred scriptures and liturgical materials of Zoroastrianism.
-
D.
Persian text
Persian text is written content composed in the Persian (Farsi) language, typically using a modified Arabic script with its own distinct letters, orthographic rules, and stylistic conventions.
-
E.
Persian translation of the Upanishads
A Persian translation of the Upanishads is a rendered version of these foundational Hindu philosophical scriptures into the Persian language, aiming to convey their spiritual teachings, metaphysical concepts, and poetic nuances to Persian-speaking readers.
- 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
Created at: April 16, 2026, 6:55 p.m.