Triple
T1128786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cameroon |
E24780
|
entity |
| Predicate | recognizedLanguage |
P238
|
FINISHED |
| Object |
Ewondo
Ewondo is a Bantu language spoken primarily by the Ewondo people in central Cameroon, including in and around the capital city, Yaoundé.
|
E138978
|
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: Ewondo | Statement: [Cameroon, recognizedLanguage, Ewondo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ewondo Context triple: [Cameroon, recognizedLanguage, Ewondo]
-
A.
Ndowe
Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
-
B.
Calabar
Calabar is a historic port city in southeastern Nigeria known for its role in the transatlantic slave trade and its vibrant cultural festivals.
-
C.
Ikwerre
Ikwerre is a Niger-Congo language spoken primarily by the Ikwerre people in Rivers State, Nigeria, particularly in and around Port Harcourt.
-
D.
Boma Ijaw
Boma Ijaw is a subgroup of the Ijaw people, an ethnic community primarily found in the Niger Delta region of Nigeria.
-
E.
Egba
Egba is a prominent subgroup of the Yoruba people in southwestern Nigeria, historically centered around the city of Abeokuta and known for its rich cultural and political heritage.
- 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: Ewondo Triple: [Cameroon, recognizedLanguage, Ewondo]
Generated description
Ewondo is a Bantu language spoken primarily by the Ewondo people in central Cameroon, including in and around the capital city, Yaoundé.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ewondo Target entity description: Ewondo is a Bantu language spoken primarily by the Ewondo people in central Cameroon, including in and around the capital city, Yaoundé.
-
A.
Ndowe
Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
-
B.
Calabar
Calabar is a historic port city in southeastern Nigeria known for its role in the transatlantic slave trade and its vibrant cultural festivals.
-
C.
Ikwerre
Ikwerre is a Niger-Congo language spoken primarily by the Ikwerre people in Rivers State, Nigeria, particularly in and around Port Harcourt.
-
D.
Boma Ijaw
Boma Ijaw is a subgroup of the Ijaw people, an ethnic community primarily found in the Niger Delta region of Nigeria.
-
E.
Egba
Egba is a prominent subgroup of the Yoruba people in southwestern Nigeria, historically centered around the city of Abeokuta and known for its rich cultural and political heritage.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bbdea9b88190a88da718bf5c1897 |
completed | March 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8309594c8190986b048b8982f153 |
completed | March 7, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69ac837e06cc8190b0da34646fa78c0c |
completed | March 7, 2026, 7:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac84309acc8190aac6c3c78246b352 |
completed | March 7, 2026, 8:01 p.m. |
Created at: March 1, 2026, 7:44 p.m.