Triple
T28209978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ذبیحالله مجاهد |
E711131
|
entity |
| Predicate | نقش در ارتباط با کشورهای منطقه |
P12921
|
FINISHED |
| Object | بیان مواضع طالبان نسبت به کشورهای همسایه افغانستان |
—
|
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: بیان مواضع طالبان نسبت به کشورهای همسایه افغانستان | Statement: [ذبیحالله مجاهد, نقش در ارتباط با کشورهای منطقه, بیان مواضع طالبان نسبت به کشورهای همسایه افغانستان]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: نقش در ارتباط با کشورهای منطقه Context triple: [ذبیحالله مجاهد, نقش در ارتباط با کشورهای منطقه, بیان مواضع طالبان نسبت به کشورهای همسایه افغانستان]
-
A.
borderRegionRole
Indicates a role or function that an entity has specifically in relation to a border region or border area.
-
B.
関連国境
Indicates a relationship where something is associated with, concerns, or pertains to a national border.
-
C.
regionOfAssociation
Indicates a broader geographic or spatial area with which an entity is functionally, contextually, or organizationally associated.
-
D.
hasRegionalRole
chosen
Indicates that an entity holds a specific role, function, or responsibility within a defined geographic region.
-
E.
connectsRegions
Indicates a relationship where one entity links or joins two or more distinct regions, enabling passage, interaction, or continuity between them.
- 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_69f6617ba4a88190bfc5c305acb4f93f |
completed | May 2, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 27, 2026, 10:38 p.m.