Triple
T28209965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ذبیحالله مجاهد |
E711131
|
entity |
| Predicate | موضوعات مورد بحث |
P103055
|
FINISHED |
| Object | مسائل سیاسی 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: مسائل سیاسی افغانستان | Statement: [ذبیحالله مجاهد, موضوعات مورد بحث, مسائل سیاسی افغانستان]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: موضوعات مورد بحث Context triple: [ذبیحالله مجاهد, موضوعات مورد بحث, مسائل سیاسی افغانستان]
-
A.
coveredTopics
chosen
Indicates that certain subjects or themes have been addressed or included within a discussion, document, or activity.
-
B.
researchTopic
Indicates that a subject conducts or focuses research on a particular topic or area of study.
-
C.
subjectMatter
Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
-
D.
isSubjectOfStudy
Indicates that an entity is the focus or topic being examined, researched, or analyzed in a study or investigation.
-
E.
topicOfReports
Indicates that something serves as the main subject or focus of one or more reports.
- 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_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 27, 2026, 10:38 p.m.