Triple
T30181937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ugandan Muslims |
E767223
|
entity |
| Predicate | hasYouthOrganizations |
P1855
|
FINISHED |
| Object | Muslim student associations in Uganda |
—
|
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: Muslim student associations in Uganda | Statement: [Ugandan Muslims, hasYouthOrganizations, Muslim student associations in Uganda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasYouthOrganizations Context triple: [Ugandan Muslims, hasYouthOrganizations, Muslim student associations in Uganda]
-
A.
hasYouthProgram
Indicates that an entity offers or is associated with an organized program or set of activities specifically designed for young people.
-
B.
hasStudentOrganization
chosen
Indicates that an entity (such as an institution or department) is associated with or hosts a particular student organization.
-
C.
hasYouthMinistryOffice
Indicates that an entity has an office or designated space specifically for its youth ministry activities.
-
D.
hasYouthTeam
Indicates that an entity has an associated youth team that serves as its junior or developmental squad.
-
E.
hasVolunteerOrganisation
Indicates that an entity is associated with or supported by a volunteer-based organisation.
- 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_69f2247cc3d88190811dec3face94bf5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67f42c4708190accbdb72ae9c9816 |
completed | May 2, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69f673c7a4588190837854f3ef61e6bf |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:26 p.m.