Triple
T30481304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | آل سعود |
E775594
|
entity |
| Predicate | أول ملك للمملكة العربية السعودية |
P169484
|
FINISHED |
| Object | الملك عبدالعزيز بن عبدالرحمن آل سعود |
—
|
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: الملك عبدالعزيز بن عبدالرحمن آل سعود | Statement: [آل سعود, أول ملك للمملكة العربية السعودية, الملك عبدالعزيز بن عبدالرحمن آل سعود]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: أول ملك للمملكة العربية السعودية Context triple: [آل سعود, أول ملك للمملكة العربية السعودية, الملك عبدالعزيز بن عبدالرحمن آل سعود]
-
A.
establishedSecondSaudiState
Indicates that an entity played a key role in founding or creating the Second Saudi State.
-
B.
المالك
Indicates a relationship where one entity is the owner or possessor of another entity.
-
C.
preIslamicRulerOf
Indicates that one entity served as the ruler of another entity (such as a territory or people) during the period before the advent of Islam.
-
D.
MoroccanRuler
Indicates a person holds or held the position of ruler over Morocco.
-
E.
firstCaliphInstalled
Indicates that the subject is the first caliph who was formally installed or appointed to the position over the object (e.g., a community, state, or domain).
- 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_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 29, 2026, 8:12 p.m.