Triple
T31346698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prime Minister of Saudi Arabia |
E799464
|
entity |
| Predicate | monarchDuringIncumbency |
P372
|
FINISHED |
| Object | King Salman bin Abdulaziz Al Saud |
—
|
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: King Salman bin Abdulaziz Al Saud | Statement: [Prime Minister of Saudi Arabia, monarchDuringIncumbency, King Salman bin Abdulaziz Al Saud]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monarchDuringIncumbency Context triple: [Prime Minister of Saudi Arabia, monarchDuringIncumbency, King Salman bin Abdulaziz Al Saud]
-
A.
monarchDuringTerm
chosen
Indicates that a specified monarch was the reigning sovereign during the time span of a given officeholder’s term.
-
B.
headOfStateDuringReign
Indicates that one entity served as the head of state for another entity during a specified reign or ruling period.
-
C.
monarchAtTime
Indicates that a specified person holds the position of monarch of a given polity during a particular time or time interval.
-
D.
monarchIn
Indicates that a person serves as the ruling monarch of a specified country, state, or territory.
-
E.
monarchName
Indicates the personal name or official regnal name of a monarch in the relationship.
- 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_69f224e51614819083141459a080e97c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6df450014819099d118e5c2d697fa |
completed | May 3, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
Created at: April 29, 2026, 9:17 p.m.