Triple
T23850197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سعدینامه |
E592139
|
entity |
| Predicate | نوع محتوا |
P82617
|
FINISHED |
| Object | حکایتهای اخلاقی |
—
|
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: حکایتهای اخلاقی | Statement: [سعدینامه, نوع محتوا, حکایتهای اخلاقی]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: نوع محتوا Context triple: [سعدینامه, نوع محتوا, حکایتهای اخلاقی]
-
A.
contentIs
Indicates that one entity serves as, or is equivalent to, the content contained within another entity.
-
B.
featuredContentType
Indicates the specific type or category of content that is highlighted or promoted as featured.
-
C.
mainContentType
chosen
Indicates the primary type or category of content associated with an entity or resource.
-
D.
contentTypesRecommended
Indicates that certain types of content are suggested or recommended in relation to a given entity or context.
-
E.
typicalContentDescriptors
Indicates the usual or characteristic types of content or attributes that are commonly associated with an entity.
- 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.