Triple
T30481290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | آل سعود |
E775594
|
entity |
| Predicate | أسست |
P986
|
FINISHED |
| Object | 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: المملكة العربية السعودية | Statement: [آل سعود, أسست, المملكة العربية السعودية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: أسست Context triple: [آل سعود, أسست, المملكة العربية السعودية]
-
A.
founded by
Indicates that an entity was established or created through the initiative, actions, or leadership of another entity.
-
B.
aimedToEstablish
Indicates an intention or effort directed toward creating, founding, or setting up something.
-
C.
foundedAsResultOf
Indicates that one entity was established or created as a direct consequence or outcome of another event, action, or circumstance.
-
D.
founded in
Indicates that an entity was established or created at a particular time or place.
-
E.
establishes
chosen
Indicates that one entity initiates, creates, or formally sets up another entity, relationship, or state, often giving it official or recognized status.
- 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_69f22497341481909c21ba329fadaa6b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f687415610819081818d08f7c79a81 |
completed | May 2, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:12 p.m.