Triple
T33005038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | محمد قسیم فهیم |
E844472
|
entity |
| Predicate | المستوى السياسي |
P18467
|
FINISHED |
| Object | قيادة عليا في الدولة الأفغانية |
—
|
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: قيادة عليا في الدولة الأفغانية | Statement: [محمد قسیم فهیم, المستوى السياسي, قيادة عليا في الدولة الأفغانية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: المستوى السياسي Context triple: [محمد قسیم فهیم, المستوى السياسي, قيادة عليا في الدولة الأفغانية]
-
A.
levelOfPolitics
Indicates the degree or intensity to which something is associated with political content, influence, or activity.
-
B.
politicallyIn
Indicates that one entity is located within, belongs to, or falls under the political jurisdiction or authority of another entity.
-
C.
politicalForm
Indicates the type or structure of governance or political organization that characterizes an entity.
-
D.
politicalSphere
chosen
Indicates involvement or relevance within the domain of politics, governance, or public policy activities and interactions.
-
E.
mainPoliticalDevelopment
Indicates the primary or most significant political change, event, or evolution affecting an entity within a given period or context.
- 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_69f3494e59f08190b9127c693e5c7e8f |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:23 a.m.