Triple
T33659912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Governorate of Saudi Arabia |
E862321
|
entity |
| Predicate | appointmentOfGovernor |
P257
|
FINISHED |
| Object | royal decree |
—
|
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: royal decree | Statement: [Governorate of Saudi Arabia, appointmentOfGovernor, royal decree]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appointmentOfGovernor Context triple: [Governorate of Saudi Arabia, appointmentOfGovernor, royal decree]
-
A.
appointedIn
Indicates that an entity is formally assigned or designated to a role, position, or office within a specific context, organization, or jurisdiction.
-
B.
provinceGovernor
Indicates that one entity serves as the governor or chief administrative authority of a particular province in relation to the other entity.
-
C.
governorAppointedOnAdviceOf
Indicates that a governor is appointed based on the formal recommendation or counsel provided by another authority or body.
-
D.
appointedBy
chosen
Indicates that one entity has been formally selected or assigned to a position, role, or office by another entity.
-
E.
governorAdvisedBy
Indicates that a governor receives advice, guidance, or counsel from a specified person or entity.
- 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_69f34984c4008190bb82f33a7819da64 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd2a215d6c8190a1a428ccaee603f1 |
completed | May 8, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69fd28ef19688190bb8370f2812a43e7 |
completed | May 8, 2026, 12:06 a.m. |
Created at: May 1, 2026, 1:42 a.m.