Triple
T33005027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | محمد قسیم فهیم |
E844472
|
entity |
| Predicate | النشاط السياسي |
P29201
|
FINISHED |
| Object | مناهضة حركة 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: مناهضة حركة طالبان | Statement: [محمد قسیم فهیم, النشاط السياسي, مناهضة حركة طالبان]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: النشاط السياسي Context triple: [محمد قسیم فهیم, النشاط السياسي, مناهضة حركة طالبان]
-
A.
politicalAct
chosen
Indicates that an entity performs, participates in, or is involved with an action related to politics, governance, or public policy.
-
B.
politicalFunction
Indicates that an entity holds, performs, or is associated with a specific role, duty, or function within a political system or structure.
-
C.
postPoliticalActivity
Indicates that an entity engages in political actions or activities following a particular event, period, or condition.
-
D.
oppositionActivity
Indicates that one entity engages in actions or behaviors that resist, counter, or work against another entity, its goals, or its activities.
-
E.
genreOfPoliticalActivity
Indicates the specific type or category of political activity that characterizes or classifies a given political action or engagement.
- 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.