Triple
T30481310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | آل سعود |
E775594
|
entity |
| Predicate | تاريخ تأسيس الدولة السعودية الأولى |
P169782
|
FINISHED |
| Object | 1744 |
—
|
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: 1744 | Statement: [آل سعود, تاريخ تأسيس الدولة السعودية الأولى, 1744]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تاريخ تأسيس الدولة السعودية الأولى Context triple: [آل سعود, تاريخ تأسيس الدولة السعودية الأولى, 1744]
-
A.
أول حاكم للدولة السعودية الأولى
Indicates that the subject is the first ruler of the First Saudi State.
-
B.
establishedSecondSaudiState
Indicates that an entity played a key role in founding or creating the Second Saudi State.
-
C.
أول ملك للمملكة العربية السعودية
Indicates that an entity is the first person to have held the position of king of the Kingdom of Saudi Arabia.
-
D.
wasFoundedAsSultanateBy
Indicates that an entity was originally established as a sultanate through the founding actions of a specified founder or founding group.
-
E.
earliestKingdom
Indicates that one kingdom is the chronologically first or oldest among a specified set of kingdoms.
- 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_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_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f6827a7b9c8190ab13605aacc81df9 |
completed | May 2, 2026, 11:02 p.m. |
Created at: April 29, 2026, 8:12 p.m.