Triple
T35728914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ganda people |
E1032694
|
entity |
| Predicate | singularEthnonymInLuganda |
P100520
|
FINISHED |
| Object | Muganda |
—
|
NE NERFINISHED |
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: Muganda | Statement: [Ganda people, singularEthnonymInLuganda, Muganda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: singularEthnonymInLuganda Context triple: [Ganda people, singularEthnonymInLuganda, Muganda]
-
A.
ethnonymSingular
chosen
Indicates that the subject is the singular form of an ethnonym (a name for a member of a specific ethnic or national group).
-
B.
nameInKirundi
Indicates that an entity has a specific name expressed in the Kirundi language.
-
C.
ethnonymInLanguage
Indicates that a given term is the name used in a specified language to refer to the people of a particular ethnic group or nationality.
-
D.
hasEthnologueName
Indicates that an entity is associated with a specific language name as recorded in the Ethnologue reference.
-
E.
SwahiliName
Indicates that one entity is the Swahili-language name or designation for the other 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_69f76e102b5881909e5d63a30a5cecbe |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:05 p.m.