Triple
T24989185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | نظامی گنجوی |
E625401
|
entity |
| Predicate | منطقه فرهنگی |
P1968
|
FINISHED |
| Object | جهان ایرانی |
—
|
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: جهان ایرانی | Statement: [نظامی گنجوی, منطقه فرهنگی, جهان ایرانی]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: منطقه فرهنگی Context triple: [نظامی گنجوی, منطقه فرهنگی, جهان ایرانی]
-
A.
isCulturalArea
Indicates that a given area is recognized or designated as a cultural region, characterized by shared cultural traits, practices, or heritage.
-
B.
culturalRegion
chosen
Indicates that an entity is located in, associated with, or belongs to a specific cultural region or cultural area.
-
C.
isPartOfCulturalDomain
Indicates that something belongs to, falls within, or is associated with a particular cultural sphere, tradition, or domain.
-
D.
culturalDistrict
Indicates that a location is officially recognized or functions as a designated cultural district, typically characterized by a concentration of cultural, artistic, or heritage-related activities.
-
E.
namedForCulturalRegion
Indicates that something is given a name derived from or honoring a specific cultural region.
- 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.