Triple
T8189435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emir of Kuwait |
E191267
|
entity |
| Predicate | governmentTypeRoleIn |
P220
|
FINISHED |
| Object | constitutional emirate |
—
|
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: constitutional emirate | Statement: [Emir of Kuwait, governmentTypeRoleIn, constitutional emirate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentTypeRoleIn Context triple: [Emir of Kuwait, governmentTypeRoleIn, constitutional emirate]
-
A.
governmentalRole
Indicates that an entity holds or is assigned a specific official position, function, or authority within a government or public administration structure.
-
B.
governmentBodyType
Indicates the classification or category of a governmental organization based on its structural or functional role.
-
C.
U.S.GovernmentPosition
Indicates that an entity holds, held, or is associated with an official position or office within the United States government.
-
D.
typeOfOffice
Indicates the specific category or kind of office that an office entity belongs to (e.g., executive, legislative, judicial, or other office types).
-
E.
governmentType
chosen
Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
- 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_69ca82c5b6948190a583c096fb0a6c71 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4da0e1288190b9c7c1d3b9a98830 |
completed | March 31, 2026, 4:29 a.m. |
| PD | Predicate disambiguation | batch_69cb36aac86081909b83636e352e0ced |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:41 p.m.