Triple
T15190083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sultanate of Zanzibar |
E362982
|
entity |
| Predicate | laterGovernmentType |
P117059
|
FINISHED |
| Object | constitutional monarchy |
—
|
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 monarchy | Statement: [Sultanate of Zanzibar, laterGovernmentType, constitutional monarchy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterGovernmentType Context triple: [Sultanate of Zanzibar, laterGovernmentType, constitutional monarchy]
-
A.
targetGovernmentType
Indicates the form or system of governance that an entity is directed toward, associated with, or intended to influence.
-
B.
implementedGovernmentType
Indicates the specific form of government that has been put into practice or adopted by an entity.
-
C.
mainGovernment
Indicates that one entity serves as the primary governing authority or central government for another entity.
-
D.
basedInGovernmentType
Indicates that an entity operates within or is associated with a government of a specified governmental system or type.
-
E.
governmentType
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. 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067beedc8190abc0a94c7a38f85e |
completed | April 15, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69deb97bd8bc8190b2ad4888f97cf963 |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec72059c08190a34f513a00185b08 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:10 a.m.