Triple
T29047277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | نقشِ فریادی |
E735167
|
entity |
| Predicate | میڈیم |
P140227
|
FINISHED |
| Object | طباعتی کتاب |
—
|
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: طباعتی کتاب | Statement: [نقشِ فریادی, میڈیم, طباعتی کتاب]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: میڈیم Context triple: [نقشِ فریادی, میڈیم, طباعتی کتاب]
-
A.
mediumDepictedIn
Indicates that a particular medium or material is represented, shown, or referenced within another work or depiction.
-
B.
mediumOfFame
Indicates the medium, field, or domain through which an entity became famous or gained public recognition.
-
C.
mediatisedBy
Indicates that an entity’s communication or interaction is conveyed, shaped, or influenced through a particular medium or media channel rather than occurring directly.
-
D.
medium
Indicates that an entity serves as the means, channel, or intermediary through which an action, communication, or effect is carried out between other entities.
-
E.
mediumFor
chosen
Indicates that one entity serves as the medium, channel, or means through which another entity is expressed, transmitted, or realized.
- 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_69f077e64b88819094d37bdbca8191b3 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f66062f54481908eedcc2f2a11295a |
completed | May 2, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 10:06 a.m.