Triple
T23850244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | شیراز |
E592140
|
entity |
| Predicate | وابسته_به |
P38982
|
FINISHED |
| Object | منطقه فرهنگی فارس |
—
|
NE NERFINISHED |
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: منطقه فرهنگی فارس | Statement: [شیراز, وابسته_به, منطقه فرهنگی فارس]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: وابسته_به Context triple: [شیراز, وابسته_به, منطقه فرهنگی فارس]
-
A.
مرتبطب
Indicates a relationship of being connected, associated, or related to something or someone.
-
B.
повʼязанеЗ
Indicates a general association or connection between one entity and another.
-
C.
dependency
chosen
Indicates that one entity relies on, is conditioned by, or cannot function or exist properly without another entity.
-
D.
relatedPass
Indicates that one pass is associated with or connected to another pass in some relevant way.
-
E.
relatedIntermediate
Indicates an indirect or intermediate relationship between two entities, typically via one or more other entities or steps rather than a direct connection.
- 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_69e25d221d908190b9b502ad31e66a3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c986f7e08190a6d361423946ff05 |
completed | April 29, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:11 p.m.