Triple
T24255992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سرحان البحيري |
E603669
|
entity |
| Predicate | موضوع_رئيسي_مرتبط_به |
P49998
|
FINISHED |
| Object | الانتهازية |
—
|
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: الانتهازية | Statement: [سرحان البحيري, موضوع_رئيسي_مرتبط_به, الانتهازية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: موضوع_رئيسي_مرتبط_به Context triple: [سرحان البحيري, موضوع_رئيسي_مرتبط_به, الانتهازية]
-
A.
primaryTopicOf
Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
-
B.
titleSubjectOf
Indicates that a title (such as a book, article, or work) is about or primarily concerns a particular subject.
-
C.
موضوع_رئيس
Indicates that one entity serves as the main or primary subject/topic in relation to another entity.
-
D.
majorThemeAssociation
chosen
Indicates that one entity is associated with another as a primary or central theme.
-
E.
basedOnSubjectOf
Indicates that something is derived from, informed by, or constructed using the subject matter or content of another entity.
- 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_69e29540da0481909a38bdae315b7a02 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28c6284dc8190a357f15d95b0360a |
completed | April 29, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:05 a.m.