Triple
T24255990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سرحان البحيري |
E603669
|
entity |
| Predicate | الانتماء_الوطني_في_السرد |
P15237
|
FINISHED |
| Object | مصري |
—
|
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: مصري | Statement: [سرحان البحيري, الانتماء_الوطني_في_السرد, مصري]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الانتماء_الوطني_في_السرد Context triple: [سرحان البحيري, الانتماء_الوطني_في_السرد, مصري]
-
A.
nationalityInStory
chosen
Indicates that a character or entity in a narrative is associated with a particular nationality within the context of that story.
-
B.
nationalityInMyth
Indicates that a mythological figure, character, or entity is associated with a particular nationality or cultural tradition within mythology.
-
C.
nationalIdentityBasis
Indicates that one entity serves as the defining basis or foundation for the national identity of another entity.
-
D.
nationalityInText
Indicates that a person's nationality is mentioned or specified within a given text.
-
E.
nationalIdentityRole
Indicates the role or function that a national identity plays in relation to an entity, such as how it defines, influences, or characterizes that entity within a national 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_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.