Triple
T11114985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kotoko |
E262863
|
entity |
| Predicate | traditionalLanguage |
P6149
|
FINISHED |
| Object |
Afade language
Afade language is a Chadic language spoken by the Kotoko people in parts of Cameroon and Chad.
|
E905184
|
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: Afade language | Statement: [Kotoko, traditionalLanguage, Afade language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Afade language Context triple: [Kotoko, traditionalLanguage, Afade language]
-
A.
Defaka language
The Defaka language is a highly endangered Niger-Congo language spoken by a small community in Nigeria’s Niger Delta region.
-
B.
Frafra language
Frafra is a Gur language spoken primarily in northern Ghana and southern Burkina Faso by the Frafra (Gurune) people.
-
C.
Aftari language
The Aftari language is a lesser-known Northwestern Iranian language spoken in Iran and classified within the Semnani branch.
-
D.
Avokaya language
The Avokaya language is a Central Sudanic language spoken primarily by the Avokaya people in parts of South Sudan and the Democratic Republic of the Congo.
-
E.
Aka-Bea language
The Aka-Bea language is an extinct indigenous tongue once spoken by the Great Andamanese Aka-Bea people of the Andaman Islands in the Bay of Bengal.
- 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: Afade language Triple: [Kotoko, traditionalLanguage, Afade language]
Generated description
Afade language is a Chadic language spoken by the Kotoko people in parts of Cameroon and Chad.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Afade language Target entity description: Afade language is a Chadic language spoken by the Kotoko people in parts of Cameroon and Chad.
-
A.
Defaka language
The Defaka language is a highly endangered Niger-Congo language spoken by a small community in Nigeria’s Niger Delta region.
-
B.
Frafra language
Frafra is a Gur language spoken primarily in northern Ghana and southern Burkina Faso by the Frafra (Gurune) people.
-
C.
Aftari language
The Aftari language is a lesser-known Northwestern Iranian language spoken in Iran and classified within the Semnani branch.
-
D.
Avokaya language
The Avokaya language is a Central Sudanic language spoken primarily by the Avokaya people in parts of South Sudan and the Democratic Republic of the Congo.
-
E.
Aka-Bea language
The Aka-Bea language is an extinct indigenous tongue once spoken by the Great Andamanese Aka-Bea people of the Andaman Islands in the Bay of Bengal.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79aa7254c8190abce35696ad2be03 |
completed | April 9, 2026, 12:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d7da99881908d38ea66c37dfb92 |
completed | April 19, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69e42e67724481908bd9e73487a80d44 |
completed | April 19, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4308103c48190b32ee3047d9a0860 |
completed | April 19, 2026, 1:31 a.m. |
Created at: April 8, 2026, 9:27 p.m.