Triple
T33793544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ولي عهد المملكة العربية السعودية |
E866002
|
entity |
| Predicate | يُعين_بواسطة |
P65674
|
FINISHED |
| Object | ملك المملكة العربية السعودية |
—
|
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: ملك المملكة العربية السعودية | Statement: [ولي عهد المملكة العربية السعودية, يُعين_بواسطة, ملك المملكة العربية السعودية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يُعين_بواسطة Context triple: [ولي عهد المملكة العربية السعودية, يُعين_بواسطة, ملك المملكة العربية السعودية]
-
A.
by
chosen
Indicates that an action is performed, caused, or authored through the agency, means, or proximity of a specified entity.
-
B.
with
Indicates a general associative relationship in which one entity is accompanied by, connected to, or occurring together with another entity.
-
C.
usedVia
Indicates that an entity performs or achieves something by means of, or through the use of, another entity or mechanism.
-
D.
usedWith
Indicates that one entity is typically or appropriately employed together with another entity in a combined or complementary use.
-
E.
importedBy
Indicates that one entity brings another entity into a system, context, or location from an external source.
- 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.