Triple
T33793537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ولي عهد المملكة العربية السعودية |
E866002
|
entity |
| Predicate | المرتبة_في_السلطة |
P177708
|
FINISHED |
| Object | الثاني بعد الملك |
—
|
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: الثاني بعد الملك | Statement: [ولي عهد المملكة العربية السعودية, المرتبة_في_السلطة, الثاني بعد الملك]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: المرتبة_في_السلطة Context triple: [ولي عهد المملكة العربية السعودية, المرتبة_في_السلطة, الثاني بعد الملك]
-
A.
subjectOfPower
Indicates that one entity holds authority, control, or influence over another entity.
-
B.
seatOfPowerType
Indicates the type or category of a seat of power associated with an entity (e.g., political, religious, administrative).
-
C.
governingPowerRelationship
Indicates a relationship where one entity holds authoritative control, influence, or ruling power over another entity.
-
D.
deFactoPowerHolder
Indicates that an entity is the one effectively exercising power or control in practice, regardless of formal or legal authority.
-
E.
occupationPower
Indicates a relationship where one party holds authoritative control, influence, or dominance over another within the context of an occupation or role.
- 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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: May 1, 2026, 1:45 a.m.