Triple
T33793555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ولي عهد المملكة العربية السعودية |
E866002
|
entity |
| Predicate | اللقب_الرسمي |
P66
|
FINISHED |
| Object | صاحب السمو الملكي ولي العهد |
—
|
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: صاحب السمو الملكي ولي العهد | Statement: [ولي عهد المملكة العربية السعودية, اللقب_الرسمي, صاحب السمو الملكي ولي العهد]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: اللقب_الرسمي Context triple: [ولي عهد المملكة العربية السعودية, اللقب_الرسمي, صاحب السمو الملكي ولي العهد]
-
A.
isOfficialNicknameOf
Indicates that one name is the formally recognized nickname or informal moniker used to refer to another entity.
-
B.
officialName
chosen
Indicates the formally recognized name assigned to an entity by an authoritative body or source.
-
C.
firstOfficialName
Indicates the original or primary official name formally assigned to an entity before any subsequent name changes or alternatives.
-
D.
laterOfficialName
Indicates that an entity was known by one name at an earlier time and was officially renamed to a different name at a later time.
-
E.
أشهر الألقاب
Indicates that one or more entities are the most famous or widely known by certain nicknames or titles.
- 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.