Triple
T30481314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | آل سعود |
E775594
|
entity |
| Predicate | تاريخ توحيد المملكة العربية السعودية |
P171078
|
FINISHED |
| Object | 1932 |
—
|
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: 1932 | Statement: [آل سعود, تاريخ توحيد المملكة العربية السعودية, 1932]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تاريخ توحيد المملكة العربية السعودية Context triple: [آل سعود, تاريخ توحيد المملكة العربية السعودية, 1932]
-
A.
تاريخ تأسيس الدولة السعودية الأولى
Indicates the date on which the First Saudi State was founded.
-
B.
تاريخ نهاية الدولة السعودية الثانية
Indicates the date on which the Second Saudi State came to an end.
-
C.
تاريخ سقوط الدولة السعودية الأولى
Indicates the date on which the First Saudi State came to an end or was officially overthrown.
-
D.
establishedSecondSaudiState
Indicates that an entity played a key role in founding or creating the Second Saudi State.
-
E.
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.
- 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_69f698ad83a08190a6834056ccc3e3a4 |
completed | May 3, 2026, 12:37 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f697e92e2c8190bed50d5ba0981b64 |
completed | May 3, 2026, 12:33 a.m. |
Created at: April 29, 2026, 8:12 p.m.