Triple
T9055282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iranian mythology |
E216980
|
entity |
| Predicate | hasSourceText |
P409
|
FINISHED |
| Object | Bundahishn |
E85589
|
NE 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: Bundahishn | Statement: [Iranian mythology, hasSourceText, Bundahishn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bundahishn Context triple: [Iranian mythology, hasSourceText, Bundahishn]
-
A.
Avesta
chosen
The Avesta is the primary collection of sacred scriptures of Zoroastrianism, containing hymns, liturgical texts, and religious teachings.
-
B.
Avesta
Avesta is a small industrial town in central Sweden known for its steel production heritage and location along the Dalälven River.
-
C.
Shahnameh
Shahnameh is an epic poem by Ferdowsi that recounts the mythological and historical past of Greater Iran and is considered one of the most important works of Persian literature.
-
D.
Shahnama-e-Islam
Shahnama-e-Islam is an epic Urdu poetic work that narrates Islamic history and heroes in a grand, literary style.
-
E.
The Persian Sage
The Persian Sage is the honorific title of Aphrahat, a 4th-century Syriac Christian writer known for his influential theological and ascetic homilies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7a7488188190b3dd6bc2f2377503 |
completed | April 1, 2026, 1:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d02fd2a1e88190bc8d8c2b634399dd |
completed | April 3, 2026, 9:23 p.m. |
Created at: March 30, 2026, 7:10 p.m.