Triple
T33793559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ولي عهد المملكة العربية السعودية |
E866002
|
entity |
| Predicate | يتم_اختياره_بواسطة |
P381
|
FINISHED |
| Object | هيئة البيعة في المملكة العربية السعودية |
—
|
NE NERFINISHED |
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: هيئة البيعة في المملكة العربية السعودية | Statement: [ولي عهد المملكة العربية السعودية, يتم_اختياره_بواسطة, هيئة البيعة في المملكة العربية السعودية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يتم_اختياره_بواسطة Context triple: [ولي عهد المملكة العربية السعودية, يتم_اختياره_بواسطة, هيئة البيعة في المملكة العربية السعودية]
-
A.
selectionMadeBy
chosen
Indicates that a particular choice or selection was performed or decided by a specific agent or entity.
-
B.
winnerSelectionMethod
Indicates the process or criteria used to determine which participant is chosen as the winner.
-
C.
symbolicallyChosenFor
Indicates that an entity has been selected to represent or stand in for something else in a symbolic or emblematic way.
-
D.
entrySelectionMethod
Indicates the method or criteria used to select or admit an entity into a particular group, system, or context.
-
E.
selectedAt
Indicates that an entity was chosen or picked at a specific point in time or under particular selection conditions.
- 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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:45 a.m.