Triple
T524851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friends World Committee for Consultation |
E10894
|
entity |
| Predicate | hasOfficialLanguage |
P236
|
FINISHED |
| Object |
Kinyarwanda
Kinyarwanda is a Bantu language spoken primarily in Rwanda, where it serves as a national and widely used lingua franca.
|
E65621
|
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: Kinyarwanda | Statement: [Friends World Committee for Consultation, hasOfficialLanguage, Kinyarwanda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kinyarwanda Context triple: [Friends World Committee for Consultation, hasOfficialLanguage, Kinyarwanda]
-
A.
Kirundi
Kirundi is a Bantu language primarily spoken in Burundi and neighboring regions of East Africa.
-
B.
Kikongo
Kikongo is a Bantu language widely spoken in Central Africa, particularly in the western regions of the Democratic Republic of the Congo and neighboring countries.
-
C.
Lingala
Lingala is a Bantu language widely spoken as a lingua franca in the Democratic Republic of the Congo and the Republic of the Congo, especially in urban centers and along the Congo River.
-
D.
Luganda
Luganda is a major Bantu language spoken primarily in Uganda, serving as a key lingua franca and cultural language of the Baganda people.
-
E.
Shona
Shona is a major Bantu language of Zimbabwe, widely spoken by the Shona people and used in education, media, and government.
- 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: Kinyarwanda Triple: [Friends World Committee for Consultation, hasOfficialLanguage, Kinyarwanda]
Generated description
Kinyarwanda is a Bantu language spoken primarily in Rwanda, where it serves as a national and widely used lingua franca.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kinyarwanda Target entity description: Kinyarwanda is a Bantu language spoken primarily in Rwanda, where it serves as a national and widely used lingua franca.
-
A.
Kirundi
Kirundi is a Bantu language primarily spoken in Burundi and neighboring regions of East Africa.
-
B.
Kikongo
Kikongo is a Bantu language widely spoken in Central Africa, particularly in the western regions of the Democratic Republic of the Congo and neighboring countries.
-
C.
Lingala
Lingala is a Bantu language widely spoken as a lingua franca in the Democratic Republic of the Congo and the Republic of the Congo, especially in urban centers and along the Congo River.
-
D.
Luganda
Luganda is a major Bantu language spoken primarily in Uganda, serving as a key lingua franca and cultural language of the Baganda people.
-
E.
Shona
Shona is a major Bantu language of Zimbabwe, widely spoken by the Shona people and used in education, media, and government.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b656c08190b387f21b06d99e68 |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4b23f97448190bd85a8c85d338039 |
completed | March 1, 2026, 9:40 p.m. |
| NEDg | Description generation | batch_69a4b2c975ec8190bc16f146f89c3f05 |
completed | March 1, 2026, 9:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4b343f8f88190bd011924dd485bef |
completed | March 1, 2026, 9:44 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.