Triple
T8170007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bantu W languages |
E190791
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Nyaneka language
The Nyaneka language is a Bantu language spoken primarily by the Nyaneka people of southwestern Angola.
|
E715995
|
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: Nyaneka language | Statement: [Bantu W languages, hasMember, Nyaneka language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nyaneka language Context triple: [Bantu W languages, hasMember, Nyaneka language]
-
A.
Nyunga language
The Nyunga language is an Australian Aboriginal language traditionally spoken by the Noongar people of southwestern Western Australia and is part of the broader Pama–Nyungan language family.
-
B.
Nzema language
Nzema is a Central Tano (Potou–Tano) Niger-Congo language spoken primarily by the Nzema people of southwestern Ghana and southeastern Côte d’Ivoire.
-
C.
Nyagbo language
The Nyagbo language is a Niger-Congo language spoken by the Nyagbo people in the Volta Region of Ghana, closely related to other Ghana–Togo Mountain languages.
-
D.
Nyindrou language
The Nyindrou language is an Oceanic language spoken by communities in the Admiralty Islands of Papua New Guinea.
-
E.
Nyaturu language
The Nyaturu language is a Bantu language spoken primarily by the Nyaturu people in central Tanzania.
- 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: Nyaneka language Triple: [Bantu W languages, hasMember, Nyaneka language]
Generated description
The Nyaneka language is a Bantu language spoken primarily by the Nyaneka people of southwestern Angola.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nyaneka language Target entity description: The Nyaneka language is a Bantu language spoken primarily by the Nyaneka people of southwestern Angola.
-
A.
Nyunga language
The Nyunga language is an Australian Aboriginal language traditionally spoken by the Noongar people of southwestern Western Australia and is part of the broader Pama–Nyungan language family.
-
B.
Nzema language
Nzema is a Central Tano (Potou–Tano) Niger-Congo language spoken primarily by the Nzema people of southwestern Ghana and southeastern Côte d’Ivoire.
-
C.
Nyagbo language
The Nyagbo language is a Niger-Congo language spoken by the Nyagbo people in the Volta Region of Ghana, closely related to other Ghana–Togo Mountain languages.
-
D.
Nyindrou language
The Nyindrou language is an Oceanic language spoken by communities in the Admiralty Islands of Papua New Guinea.
-
E.
Nyaturu language
The Nyaturu language is a Bantu language spoken primarily by the Nyaturu people in central Tanzania.
- 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_69ca82c1c0a08190bf8692b4d91a03ca |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4803de688190960438aa059d163b |
completed | March 31, 2026, 4:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf542c388190b99fe4f0c6b7b946 |
completed | April 1, 2026, 6:46 a.m. |
| NEDg | Description generation | batch_69ccc312a8608190b899394752ef375f |
completed | April 1, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ccd83115fc8190a3e276bed0a00926 |
completed | April 1, 2026, 8:32 a.m. |
Created at: March 30, 2026, 5:39 p.m.