Triple
T11827497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senufo languages |
E281293
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Nafara language
The Nafara language is a Senufo language spoken in parts of West Africa, primarily by the Nafara people in Côte d’Ivoire.
|
E949731
|
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: Nafara language | Statement: [Senufo languages, hasMember, Nafara language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nafara language Context triple: [Senufo languages, hasMember, Nafara language]
-
A.
Nafe (Nguna) language
The Nafe (Nguna) language is an Oceanic Austronesian language spoken on Nguna Island and nearby areas in central Vanuatu.
-
B.
Naba language
Naba is a Central Sudanic language of the Bongo–Bagirmi branch spoken primarily in Chad.
-
C.
Frafra language
Frafra is a Gur language spoken primarily in northern Ghana and southern Burkina Faso by the Frafra (Gurune) people.
-
D.
Nawdm language
The Nawdm language is a Gur language spoken primarily by the Nawda (Nawdm) people in parts of northern Togo and neighboring regions of West Africa.
-
E.
Nawuri language
The Nawuri language is a Niger-Congo language spoken by the Nawuri people of Ghana, primarily in the northern Volta and Oti regions.
- 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: Nafara language Triple: [Senufo languages, hasMember, Nafara language]
Generated description
The Nafara language is a Senufo language spoken in parts of West Africa, primarily by the Nafara people in Côte d’Ivoire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nafara language Target entity description: The Nafara language is a Senufo language spoken in parts of West Africa, primarily by the Nafara people in Côte d’Ivoire.
-
A.
Nafe (Nguna) language
The Nafe (Nguna) language is an Oceanic Austronesian language spoken on Nguna Island and nearby areas in central Vanuatu.
-
B.
Naba language
Naba is a Central Sudanic language of the Bongo–Bagirmi branch spoken primarily in Chad.
-
C.
Frafra language
Frafra is a Gur language spoken primarily in northern Ghana and southern Burkina Faso by the Frafra (Gurune) people.
-
D.
Nawdm language
The Nawdm language is a Gur language spoken primarily by the Nawda (Nawdm) people in parts of northern Togo and neighboring regions of West Africa.
-
E.
Nawuri language
The Nawuri language is a Niger-Congo language spoken by the Nawuri people of Ghana, primarily in the northern Volta and Oti regions.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5ec3a148190bb184ba0d481b16a |
completed | April 10, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1671989f88190b8c1fb520435a25e |
completed | April 29, 2026, 2:04 a.m. |
| NEDg | Description generation | batch_69f16e31ebfc81908255e24b96bf9a99 |
completed | April 29, 2026, 2:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f1a09eae7481908200709ae9721d53 |
completed | April 29, 2026, 6:09 a.m. |
Created at: April 8, 2026, 9:43 p.m.