Triple
T28209962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ذبیحالله مجاهد |
E711131
|
entity |
| Predicate | نوع فعالیت |
P8834
|
FINISHED |
| Object | فعالیت رسانهای و تبلیغاتی برای طالبان |
—
|
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: فعالیت رسانهای و تبلیغاتی برای طالبان | Statement: [ذبیحالله مجاهد, نوع فعالیت, فعالیت رسانهای و تبلیغاتی برای طالبان]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: نوع فعالیت Context triple: [ذبیحالله مجاهد, نوع فعالیت, فعالیت رسانهای و تبلیغاتی برای طالبان]
-
A.
mannerOfActivity
Indicates the way or style in which an activity is performed or carried out.
-
B.
placeOfBusinessActivity
Indicates the type or nature of business activity that is conducted at a particular place or location.
-
C.
activityType
chosen
Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
-
D.
natureOfAct
Indicates the inherent character or type of an action, describing what kind of act it is in terms of its qualities or legal/moral classification.
-
E.
occupationalRootActivity
Indicates that an occupation is fundamentally based on or derived from a particular core activity or type of 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_69efb51cb5288190818c1f63a266af11 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f64310b67481908c2de1bc652d4d87 |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 10:38 p.m.