Triple
T24056597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سعدی شیرازی |
E595823
|
entity |
| Predicate | موضوع بوستان |
P154696
|
FINISHED |
| Object | تعلیم اخلاق و فضایل انسانی |
—
|
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: تعلیم اخلاق و فضایل انسانی | Statement: [سعدی شیرازی, موضوع بوستان, تعلیم اخلاق و فضایل انسانی]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: موضوع بوستان Context triple: [سعدی شیرازی, موضوع بوستان, تعلیم اخلاق و فضایل انسانی]
-
A.
الغطاء النباتي
Indicates the presence, extent, or characteristics of plant cover in a given area.
-
B.
من السور
Indicates a relationship where something originates from, is taken from, or is part of a specific wall or fence.
-
C.
BustanIs
Indicates that something is identified as or classified as a bustan (e.g., a garden or orchard).
-
D.
حكم تلاوتها
Indicates the ruling or legal judgment regarding the recitation of something (e.g., whether its recitation is obligatory, recommended, permissible, disliked, or forbidden).
-
E.
سبب التسمية
Indicates the reason or cause behind assigning a particular name to something.
- 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.