Triple
T16567868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandara language |
E402508
|
entity |
| Predicate | languageSubbranch |
P1967
|
FINISHED |
| Object |
Biu–Mandara
Biu–Mandara is a major branch of the Chadic language family spoken primarily in parts of Nigeria, Cameroon, and Chad.
|
E1222793
|
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: Biu–Mandara | Statement: [Mandara language, languageSubbranch, Biu–Mandara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biu–Mandara Context triple: [Mandara language, languageSubbranch, Biu–Mandara]
-
A.
Mandara
Mandara is a Chadic language spoken primarily in parts of Cameroon and Nigeria, associated with the Mandara (Wandala) ethnic group.
-
B.
Dutsin-Ma
Dutsin-Ma is a town in northern Nigeria known for hosting the Federal University Dutsin-Ma and serving as an important local commercial and educational center.
-
C.
Rumuokoro
Rumuokoro is a bustling urban town and major commercial transport hub in Obio-Akpor, within the Port Harcourt metropolitan area of Rivers State, Nigeria.
-
D.
Mbini
Mbini is a town in mainland Equatorial Guinea situated along the Benito River, known historically as a small river port and local administrative center.
-
E.
Tontemboan
Tontemboan is an Austronesian language spoken by the Tontemboan people in North Sulawesi, Indonesia.
- 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: Biu–Mandara Triple: [Mandara language, languageSubbranch, Biu–Mandara]
Generated description
Biu–Mandara is a major branch of the Chadic language family spoken primarily in parts of Nigeria, Cameroon, and Chad.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Biu–Mandara Target entity description: Biu–Mandara is a major branch of the Chadic language family spoken primarily in parts of Nigeria, Cameroon, and Chad.
-
A.
Mandara
Mandara is a Chadic language spoken primarily in parts of Cameroon and Nigeria, associated with the Mandara (Wandala) ethnic group.
-
B.
Dutsin-Ma
Dutsin-Ma is a town in northern Nigeria known for hosting the Federal University Dutsin-Ma and serving as an important local commercial and educational center.
-
C.
Rumuokoro
Rumuokoro is a bustling urban town and major commercial transport hub in Obio-Akpor, within the Port Harcourt metropolitan area of Rivers State, Nigeria.
-
D.
Mbini
Mbini is a town in mainland Equatorial Guinea situated along the Benito River, known historically as a small river port and local administrative center.
-
E.
Tontemboan
Tontemboan is an Austronesian language spoken by the Tontemboan people in North Sulawesi, Indonesia.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35772f6608190a125c7d3c199c3e2 |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00759424348190889dacbbc7435238 |
completed | May 10, 2026, 12:09 p.m. |
| NEDg | Description generation | batch_6a00783334a08190ae76fd7e114a9dd6 |
completed | May 10, 2026, 12:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0078562e788190b80a4ee27788ff69 |
completed | May 10, 2026, 12:21 p.m. |
Created at: April 10, 2026, 5:16 a.m.