Triple
T10093865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | قسما |
E215812
|
entity |
| Predicate | يُترجم إلى |
P92390
|
FINISHED |
| Object | عدة لغات أجنبية في المحافل الدولية |
—
|
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: عدة لغات أجنبية في المحافل الدولية | Statement: [قسما, يُترجم إلى, عدة لغات أجنبية في المحافل الدولية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يُترجم إلى Context triple: [قسما, يُترجم إلى, عدة لغات أجنبية في المحافل الدولية]
-
A.
translationMethod
Indicates the technique or process used to translate content from one language or form to another.
-
B.
EnglishTranslation
Indicates that one expression is the English-language translation equivalent of another expression.
-
C.
translator
Indicates that one entity serves to convert or render content from one language or form into another for a second entity.
-
D.
laterTranslatedAs
Indicates that something was translated at a later time into a different language, form, or version under a specified title or expression.
-
E.
alsoTranslatedAs
Indicates that something has an alternative translation or rendering in another language or form.
- F. None of above. chosen
Provenance (4 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_69ca83a4947c8190823a7495dc5d96ed |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd05da3688190b7a1ac8a58e5488f |
completed | April 2, 2026, 2:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4b9b853c8190a2af993ce9b21309 |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd5150ae98819086c4f822114b4e2c |
completed | April 1, 2026, 5:09 p.m. |
Created at: March 30, 2026, 9:01 p.m.