Triple
T24989177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | نظامی گنجوی |
E625401
|
entity |
| Predicate | تأثیرگذاری |
P67693
|
FINISHED |
| Object | بر سنت داستانسرایی منظوم در ادبیات فارسی |
—
|
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: بر سنت داستانسرایی منظوم در ادبیات فارسی | Statement: [نظامی گنجوی, تأثیرگذاری, بر سنت داستانسرایی منظوم در ادبیات فارسی]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تأثیرگذاری Context triple: [نظامی گنجوی, تأثیرگذاری, بر سنت داستانسرایی منظوم در ادبیات فارسی]
-
A.
اثر
Indicates a causal or influential relationship where one entity produces, changes, or leaves an impact on another.
-
B.
التأثير
chosen
Indicates a relationship where one entity produces a change or has an influence on another entity or its state.
-
C.
آثار شاخص
Indicates that an entity has notable or distinguished works or creations associated with it.
-
D.
influentialAs
Indicates that one entity has at least as much influence or impact as another entity.
-
E.
influenced
Indicates that one entity has affected, shaped, or altered another entity’s state, behavior, or characteristics.
- 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_69e2ff2611c081908710457fbe6d376b |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:03 a.m.