Triple
T23160491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gonja |
E578567
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Gonja language |
—
|
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 language | Statement: [Gonja, language, Gonja language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gonja language Context triple: [Gonja, language, Gonja language]
-
A.
Gonja language
chosen
The Gonja language is a Gur language spoken primarily by the Gonja people in northern Ghana.
-
B.
Ghanongga language
The Ghanongga language is an Oceanic language spoken by indigenous communities on New Georgia Island in the Solomon Islands.
-
C.
Gola language
Gola language is a Niger–Congo language spoken by the Gola people of Liberia and neighboring regions of West Africa.
-
D.
Ganguela language
The Ganguela language is a Bantu language spoken by the Ganguela people of southwestern Africa, particularly in Angola.
-
E.
Ganza language
Ganza language is a lesser-known Afroasiatic language spoken by communities in southwestern Ethiopia and neighboring regions.
- 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.