Triple
T2160265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nzebi |
E47983
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Ndzebi
Ndzebi is a Bantu language spoken primarily by the Nzebi people of Gabon and neighboring regions.
|
E241646
|
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: Ndzebi | Statement: [Nzebi, hasAlternativeName, Ndzebi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ndzebi Context triple: [Nzebi, hasAlternativeName, Ndzebi]
-
A.
Nzega
Nzega is a town and district in western Tanzania that serves as an important commercial and transport hub within the Tabora Region.
-
B.
Ndowe
Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
-
C.
Bashenga
Bashenga is a legendary Wakandan warrior and the first Black Panther, revered as the founder of the Panther cult and an ancestor of T'Challa in Marvel Comics.
-
D.
Ngizim
Ngizim is a West Chadic language spoken primarily by the Ngizim people in northeastern Nigeria.
-
E.
Nembe
Nembe is an Ijaw subgroup and town in Bayelsa State, Nigeria, known historically as a coastal trading center in the Niger Delta.
- 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: Ndzebi Triple: [Nzebi, hasAlternativeName, Ndzebi]
Generated description
Ndzebi is a Bantu language spoken primarily by the Nzebi people of Gabon and neighboring regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ndzebi Target entity description: Ndzebi is a Bantu language spoken primarily by the Nzebi people of Gabon and neighboring regions.
-
A.
Nzega
Nzega is a town and district in western Tanzania that serves as an important commercial and transport hub within the Tabora Region.
-
B.
Ndowe
Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
-
C.
Bashenga
Bashenga is a legendary Wakandan warrior and the first Black Panther, revered as the founder of the Panther cult and an ancestor of T'Challa in Marvel Comics.
-
D.
Ngizim
Ngizim is a West Chadic language spoken primarily by the Ngizim people in northeastern Nigeria.
-
E.
Nembe
Nembe is an Ijaw subgroup and town in Bayelsa State, Nigeria, known historically as a coastal trading center in the Niger Delta.
- 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_69a88a1d1fd8819088b34990d69a712f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe8894d481908eda9363fd36fea6 |
completed | March 7, 2026, 5:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5d98286c8190a6890e2c7daa10b5 |
completed | March 9, 2026, 5:41 a.m. |
| NEDg | Description generation | batch_69ae5e30a69c8190a3f77e784401f671 |
completed | March 9, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5ea4edcc81908829e4bd64ce0aea |
completed | March 9, 2026, 5:46 a.m. |
Created at: March 4, 2026, 7:45 p.m.