Triple
T1332461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ndyuka language |
E28673
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Njuká
Njuká is an alternative name for the Ndyuka language, a creole spoken primarily by the Ndyuka Maroon community in Suriname and French Guiana.
|
E155275
|
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: Njuká | Statement: [Ndyuka language, alternativeName, Njuká]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Njuká Context triple: [Ndyuka language, alternativeName, Njuká]
-
A.
Ndowe
Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
-
B.
Olosega
Olosega is a small volcanic island in the Manuʻa group of American Samoa, known for its dramatic cliffs, lush vegetation, and connection by bridge to the neighboring island of Ofu.
-
C.
Kumba
Kumba is a renowned steel roller coaster at Busch Gardens Tampa Bay, famous for its intense inversions and smooth, high-speed layout.
-
D.
Ngozi
Ngozi is a Nigerian given name of Igbo origin commonly used for females and meaning "blessing."
-
E.
Nzebi
Nzebi is a Bantu language spoken primarily by the Nzebi people of Gabon and recognized there as one of the national languages.
- 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: Njuká Triple: [Ndyuka language, alternativeName, Njuká]
Generated description
Njuká is an alternative name for the Ndyuka language, a creole spoken primarily by the Ndyuka Maroon community in Suriname and French Guiana.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Njuká Target entity description: Njuká is an alternative name for the Ndyuka language, a creole spoken primarily by the Ndyuka Maroon community in Suriname and French Guiana.
-
A.
Ndowe
Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
-
B.
Olosega
Olosega is a small volcanic island in the Manuʻa group of American Samoa, known for its dramatic cliffs, lush vegetation, and connection by bridge to the neighboring island of Ofu.
-
C.
Kumba
Kumba is a renowned steel roller coaster at Busch Gardens Tampa Bay, famous for its intense inversions and smooth, high-speed layout.
-
D.
Ngozi
Ngozi is a Nigerian given name of Igbo origin commonly used for females and meaning "blessing."
-
E.
Nzebi
Nzebi is a Bantu language spoken primarily by the Nzebi people of Gabon and recognized there as one of the national languages.
- 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1e7f1388190a6e4eb65a7997380 |
completed | March 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce641c6481908a3d2b9e9fc423d7 |
completed | March 8, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69accecd233c8190bebf5395e8dd5961 |
completed | March 8, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69accf2c65188190844bcd1c5efa563a |
completed | March 8, 2026, 1:21 a.m. |
Created at: March 1, 2026, 7:55 p.m.