Triple
T23360607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oku |
E593172
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object |
Oku language
The Oku language is a Grassfields Bantu language spoken primarily by the Oku people in Cameroon’s Northwest Region.
|
E1582675
|
NE FINISHED |
How this triple was built (4 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: Oku language | Statement: [Oku, hasLanguage, Oku language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oku language Context triple: [Oku, hasLanguage, Oku language]
-
A.
Oko languages
Oko languages are a small group of closely related Niger-Congo languages spoken primarily in central Nigeria.
-
B.
Okwanuchu language
The Okwanuchu language is an extinct Native American tongue once spoken in northern California, belonging to the Shastan family.
-
C.
Opuo language
Opuo is a Koman language spoken by a small ethnic group in parts of Ethiopia and South Sudan, known for its highly endangered status and limited documentation.
-
D.
Otuho language
The Otuho language is a Nilo-Saharan language spoken primarily by the Otuho (Lotuko) people of South Sudan.
-
E.
Opokuma language
The Opokuma language is a Niger-Congo language spoken by the Opokuma subgroup of the Ijaw people in Nigeria’s Niger Delta region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Oku language Triple: [Oku, hasLanguage, Oku language]
Generated description
The Oku language is a Grassfields Bantu language spoken primarily by the Oku people in Cameroon’s Northwest Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oku language Target entity description: The Oku language is a Grassfields Bantu language spoken primarily by the Oku people in Cameroon’s Northwest Region.
-
A.
Oko languages
Oko languages are a small group of closely related Niger-Congo languages spoken primarily in central Nigeria.
-
B.
Okwanuchu language
The Okwanuchu language is an extinct Native American tongue once spoken in northern California, belonging to the Shastan family.
-
C.
Opuo language
Opuo is a Koman language spoken by a small ethnic group in parts of Ethiopia and South Sudan, known for its highly endangered status and limited documentation.
-
D.
Otuho language
The Otuho language is a Nilo-Saharan language spoken primarily by the Otuho (Lotuko) people of South Sudan.
-
E.
Opokuma language
The Opokuma language is a Niger-Congo language spoken by the Opokuma subgroup of the Ijaw people in Nigeria’s Niger Delta region.
- F. None of above. chosen
Provenance (5 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0a730f8819088fec53a43b063f8 |
completed | April 29, 2026, 6:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5dd385948190940cf5b878e54002 |
completed | May 19, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0c5fa0ae848190a23b0c8c16345c26 |
completed | May 19, 2026, 1:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c604cc84c8190946e2a35e0f736ce |
completed | May 19, 2026, 1:06 p.m. |
Created at: April 17, 2026, 5:30 p.m.