Triple
T24056594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سعدی شیرازی |
E595823
|
entity |
| Predicate | زبان گلستان |
P154693
|
FINISHED |
| Object | نثر مسجع 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: نثر مسجع فارسی | Statement: [سعدی شیرازی, زبان گلستان, نثر مسجع فارسی]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: زبان گلستان Context triple: [سعدی شیرازی, زبان گلستان, نثر مسجع فارسی]
-
A.
لغة السورة
Indicates the language in which a given surah (chapter of the Qur’an) is expressed or written.
-
B.
languageNameDari
Indicates that the specified language has the name "Dari" in the given context.
-
C.
languageOfPoetry
Indicates that a specified language is the language in which a given piece of poetry is written or expressed.
-
D.
isLanguageOf
Indicates that a particular language is used as the official or primary language associated with a given entity (such as a person, document, or region).
-
E.
glottoCategory
Indicates the linguistic classification or type (such as language family, subgroup, or category) to which a language or dialect is assigned.
- 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_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. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 10:32 p.m.