Triple
T23160503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yagbonwura |
E578567
|
entity |
| Predicate | ethnicGroup |
P194
|
FINISHED |
| Object | Gonja |
—
|
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: Gonja | Statement: [Yagbonwura, ethnicGroup, Gonja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gonja Context triple: [Yagbonwura, ethnicGroup, Gonja]
-
A.
Gonja
chosen
Gonja are an ethnic group in northern Ghana known for their distinct language, chieftaincy traditions, and historical Gonja kingdom.
-
B.
Gashua
Gashua is a town in northeastern Nigeria that serves as an important commercial and administrative center in Yobe State.
-
C.
Negombo
Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
-
D.
Banjima
Banjima is an Aboriginal Australian people traditionally associated with the Pilbara region of Western Australia, known for their distinct language and cultural heritage.
-
E.
Dungu
Dungu is a town in northeastern Democratic Republic of the Congo, known as a local administrative and trading center near the Garamba National Park.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f006930819097aafef87405d737 |
completed | April 29, 2026, 4:54 a.m. |
Created at: April 17, 2026, 4:02 p.m.