Triple
T24056614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سعدی شیرازی |
E595823
|
entity |
| Predicate | جایگاه در ادبیات فارسی |
P70583
|
FINISHED |
| Object | از بزرگترین سخنسرایان 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: از بزرگترین سخنسرایان فارسی | Statement: [سعدی شیرازی, جایگاه در ادبیات فارسی, از بزرگترین سخنسرایان فارسی]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: جایگاه در ادبیات فارسی Context triple: [سعدی شیرازی, جایگاه در ادبیات فارسی, از بزرگترین سخنسرایان فارسی]
-
A.
جایگاه
chosen
Indicates a positional or hierarchical relationship specifying the place, rank, or status of one entity relative to others.
-
B.
inLiterature
Indicates that a work, concept, or entity is mentioned, discussed, or represented within a piece of literature.
-
C.
literaryCenter
Indicates that a location functions as a primary hub or focal point for literary activity, such as writing, publishing, or literary culture.
-
D.
literarySubject
Indicates that one entity serves as the subject, topic, or focus of a literary work created by another entity.
-
E.
literaryMuseOf
Indicates a relationship in which one entity serves as the creative inspiration or muse for another entity’s literary work.
- 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_69e288c184b081909f1f1751fb8e299a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1da50d6108190a36bffaa475c8b93 |
completed | April 29, 2026, 10:15 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:32 p.m.