Triple
T20843347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archbishop of Uganda |
E513154
|
entity |
| Predicate | typeOfOrganizationHead |
P3504
|
FINISHED |
| Object | national church leader |
—
|
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: national church leader | Statement: [Archbishop of Uganda, typeOfOrganizationHead, national church leader]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfOrganizationHead Context triple: [Archbishop of Uganda, typeOfOrganizationHead, national church leader]
-
A.
typeOfOrganizationChaired
Indicates the specific kind or category of organization over which an entity serves as chair or leader.
-
B.
hasTypeOfOrganization
chosen
Indicates that an entity is classified as belonging to a particular type or category of organization.
-
C.
organizationType
Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
-
D.
organizationTypeHeadquartered
Indicates that an organization of a specified type has its headquarters located in a particular place.
-
E.
typeOfBusinessOrganization
Indicates the specific kind or category of business organization that an entity belongs to (e.g., corporation, partnership, sole proprietorship).
- 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_69e0b4f4898081908209e58edb8f9c45 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c34cdf9881909f3340874bbee5bc |
completed | April 21, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a1f4f48190aa9fb4ef8f8aea5a |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:43 p.m.