Triple
T21917142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bamileke languages |
E541208
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Bafang language
The Bafang language is a Grassfields Bantu language spoken by the Bafang (a Bamileke subgroup) in western Cameroon.
|
E1508089
|
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: Bafang language | Statement: [Bamileke languages, hasMember, Bafang language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bafang language Context triple: [Bamileke languages, hasMember, Bafang language]
-
A.
Bafia language
The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
-
B.
Baangi language
The Baangi language is a lesser-known Nupoid (Benue–Congo) language spoken by a small community in Nigeria.
-
C.
Bambam language
The Bambam language is an Austronesian language spoken in parts of South Sulawesi, Indonesia, known for its place within the region’s diverse indigenous linguistic landscape.
-
D.
Batui language
The Batui language is an Austronesian language spoken in Central Sulawesi, Indonesia, and is part of the Saluan–Banggai subgroup.
-
E.
Banggai language
The Banggai language is an Austronesian language spoken by the Banggai people in the Banggai Islands and nearby coastal areas of Central 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: Bafang language Triple: [Bamileke languages, hasMember, Bafang language]
Generated description
The Bafang language is a Grassfields Bantu language spoken by the Bafang (a Bamileke subgroup) in western Cameroon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bafang language Target entity description: The Bafang language is a Grassfields Bantu language spoken by the Bafang (a Bamileke subgroup) in western Cameroon.
-
A.
Bafia language
The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
-
B.
Baangi language
The Baangi language is a lesser-known Nupoid (Benue–Congo) language spoken by a small community in Nigeria.
-
C.
Bambam language
The Bambam language is an Austronesian language spoken in parts of South Sulawesi, Indonesia, known for its place within the region’s diverse indigenous linguistic landscape.
-
D.
Batui language
The Batui language is an Austronesian language spoken in Central Sulawesi, Indonesia, and is part of the Saluan–Banggai subgroup.
-
E.
Banggai language
The Banggai language is an Austronesian language spoken by the Banggai people in the Banggai Islands and nearby coastal areas of Central 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1233858308190a877d8015db4d380 |
completed | April 28, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a5a13f09c819088b50585423a1835 |
completed | May 18, 2026, 12:15 a.m. |
| NEDg | Description generation | batch_6a0a5a967d28819084a37207e17d4f68 |
completed | May 18, 2026, 12:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a5b24f6708190bfe903dceb0e9210 |
completed | May 18, 2026, 12:19 a.m. |
Created at: April 16, 2026, 7:43 p.m.