Triple
T24989176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | نظامی گنجوی |
E625401
|
entity |
| Predicate | تأثیرگذاری |
P9
|
FINISHED |
| Object | بر شاعران فارسیزبان پس از خود |
—
|
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 شاعران فارسیزبان پس از خود | Statement: [نظامی گنجوی, تأثیرگذاری, بر شاعران فارسیزبان پس از خود]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تأثیرگذاری Context triple: [نظامی گنجوی, تأثیرگذاری, بر شاعران فارسیزبان پس از خود]
-
A.
التأثير
Indicates a relationship where one entity produces a change or has an influence on another entity or its state.
-
B.
آثار شاخص
Indicates that an entity has notable or distinguished works or creations associated with it.
-
C.
influentialAs
Indicates that one entity has at least as much influence or impact as another entity.
-
D.
influenced
chosen
Indicates that one entity has affected, shaped, or altered another entity’s state, behavior, or characteristics.
-
E.
impactOnSubject
Indicates the effect, influence, or consequence that one entity, event, or action has on a specified subject.
- 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_69f44a42f61c8190bcb01ceec1f889b1 |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 6:03 a.m.