Triple
T11302901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frafra language |
E267639
|
entity |
| Predicate | subclassOf |
P1244
|
FINISHED |
| Object | Gurune language |
E917989
|
NE 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: Gurune language | Statement: [Frafra language, subclassOf, Gurune language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gurune language Context triple: [Frafra language, subclassOf, Gurune language]
-
A.
Gurene language
chosen
The Gurene language is a Gur language spoken primarily by the Frafra people in northern Ghana and parts of Burkina Faso.
-
B.
Gura language
The Gura language is an Ethiopian Semitic language spoken by the Gurage people in central Ethiopia.
-
C.
Gumer language
The Gumer language is an Afroasiatic Semitic language spoken by the Gumer people of the Gurage region in central Ethiopia.
-
D.
Gurma language
Gurma language is a Gur language spoken primarily in parts of Burkina Faso, Togo, Benin, and neighboring West African countries.
-
E.
Konda-Dora language
Konda-Dora language is a Dravidian tribal language spoken primarily by the Konda Dora people in parts of Andhra Pradesh and Odisha in India.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9a5c3788190ba54eda514b97903 |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e525a842dc81909c84d8bd1a6414fa |
completed | April 19, 2026, 6:57 p.m. |
Created at: April 8, 2026, 9:32 p.m.