Triple
T11302873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dagaare language |
E267638
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Dagari
Dagari is an alternative name for the Dagaare language, a Gur language spoken primarily in parts of Ghana and Burkina Faso.
|
E921035
|
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: Dagari | Statement: [Dagaare language, hasAlternativeName, Dagari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dagari Context triple: [Dagaare language, hasAlternativeName, Dagari]
-
A.
Dagomba
Dagomba refers to an ethnic group primarily found in northern Ghana, known for their rich cultural traditions, chieftaincy system, and use of the Dagbani language.
-
B.
Ngola
Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
-
C.
Dagbani
Dagbani is a Gur language spoken primarily by the Dagomba people in northern Ghana.
-
D.
Ngazidja
Ngazidja, also known as Grande Comore, is the largest island of the Comoros archipelago in the Indian Ocean and home to the nation’s capital.
-
E.
Takrur
Takrur was an early West African kingdom located in the Senegal River valley, known for its role in trans-Saharan trade and its early adoption of Islam.
- 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: Dagari Triple: [Dagaare language, hasAlternativeName, Dagari]
Generated description
Dagari is an alternative name for the Dagaare language, a Gur language spoken primarily in parts of Ghana and Burkina Faso.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dagari Target entity description: Dagari is an alternative name for the Dagaare language, a Gur language spoken primarily in parts of Ghana and Burkina Faso.
-
A.
Dagomba
Dagomba refers to an ethnic group primarily found in northern Ghana, known for their rich cultural traditions, chieftaincy system, and use of the Dagbani language.
-
B.
Ngola
Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
-
C.
Dagbani
Dagbani is a Gur language spoken primarily by the Dagomba people in northern Ghana.
-
D.
Ngazidja
Ngazidja, also known as Grande Comore, is the largest island of the Comoros archipelago in the Indian Ocean and home to the nation’s capital.
-
E.
Takrur
Takrur was an early West African kingdom located in the Senegal River valley, known for its role in trans-Saharan trade and its early adoption of Islam.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9a5c3788190ba54eda514b97903 |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e55639a5ec8190b979d5a280397f98 |
completed | April 19, 2026, 10:24 p.m. |
| NEDg | Description generation | batch_69e558cc2a1c819087c584310eb255d5 |
completed | April 19, 2026, 10:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e562d9a1408190a4e68f28f48c75c7 |
completed | April 19, 2026, 11:18 p.m. |
Created at: April 8, 2026, 9:32 p.m.