Triple
T38278146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | طوق الحمامة |
E1022013
|
entity |
| Predicate | مترجم_إلى |
P21151
|
FINISHED |
| Object | الإنجليزية |
—
|
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: الإنجليزية | Statement: [طوق الحمامة, مترجم_إلى, الإنجليزية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مترجم_إلى Context triple: [طوق الحمامة, مترجم_إلى, الإنجليزية]
-
A.
translatedIn
Indicates that a work, text, or content has been rendered from its original language into another specified language or linguistic form.
-
B.
translator
Indicates that one entity serves to convert or render content from one language or form into another for a second entity.
-
C.
translationTargetLanguage
chosen
Indicates the language into which content is being or has been translated.
-
D.
latinTranslator
Indicates that one entity translates text or speech into Latin for another entity or context.
-
E.
laterTranslatedAs
Indicates that something was translated at a later time into a different language, form, or version under a specified title or expression.
- 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_69f76df0cddc81908d16c1556ff4097f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:30 p.m.