Triple
T23850193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سعدینامه |
E592139
|
entity |
| Predicate | نویسندهٔ آن اهل |
P154178
|
FINISHED |
| Object | شیراز |
—
|
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: شیراز | Statement: [سعدینامه, نویسندهٔ آن اهل, شیراز]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: نویسندهٔ آن اهل Context triple: [سعدینامه, نویسندهٔ آن اهل, شیراز]
-
A.
authorNationality
Indicates the relationship between an author and the country or nationality with which that author is identified.
-
B.
literaryAuthor
Indicates that one entity is the author or writer of a literary work represented by the other entity.
-
C.
authorOfNarrativeWithinWork
Indicates that one entity is the creator or writer of a narrative that exists as a component or embedded story within a larger work.
-
D.
creatorNationality
Indicates that the creator of an entity has a specified national affiliation or citizenship.
-
E.
authorOfAfterwordOrNotes
Indicates that one entity is the author of an afterword or explanatory notes accompanying another entity (such as a work or edition).
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 8:11 p.m.