Triple
T23521399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dagbani |
E574515
|
entity |
| Predicate | hasStandardVariety |
P751
|
FINISHED |
| Object |
Tamale Dagbani
Tamale Dagbani is the principal standardized variety of the Dagbani language, widely used in education, media, and official communication in northern Ghana.
|
E1591219
|
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: Tamale Dagbani | Statement: [Dagbani, hasStandardVariety, Tamale Dagbani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamale Dagbani Context triple: [Dagbani, hasStandardVariety, Tamale Dagbani]
-
A.
Tamale
Tamale is the largest city in northern Ghana and a major administrative, commercial, and cultural hub for the surrounding region.
-
B.
Ulos Ragi Hotang
Ulos Ragi Hotang is a traditional Batak ceremonial cloth revered for its protective and unifying symbolic power within the community.
-
C.
Obot Akara
Obot Akara is a local government area in Akwa Ibom State, Nigeria, known for its predominantly rural communities and agricultural activities.
-
D.
Mehunaise
Mehunaise is the French demonym for a female inhabitant of the town of Mehun-sur-Yèvre in central France.
-
E.
Gurma
Gurma is a Gur language spoken primarily by the Gurma people in parts of Burkina Faso, Togo, Benin, and neighboring West African countries.
- 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: Tamale Dagbani Triple: [Dagbani, hasStandardVariety, Tamale Dagbani]
Generated description
Tamale Dagbani is the principal standardized variety of the Dagbani language, widely used in education, media, and official communication in northern Ghana.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tamale Dagbani Target entity description: Tamale Dagbani is the principal standardized variety of the Dagbani language, widely used in education, media, and official communication in northern Ghana.
-
A.
Tamale
Tamale is the largest city in northern Ghana and a major administrative, commercial, and cultural hub for the surrounding region.
-
B.
Ulos Ragi Hotang
Ulos Ragi Hotang is a traditional Batak ceremonial cloth revered for its protective and unifying symbolic power within the community.
-
C.
Obot Akara
Obot Akara is a local government area in Akwa Ibom State, Nigeria, known for its predominantly rural communities and agricultural activities.
-
D.
Mehunaise
Mehunaise is the French demonym for a female inhabitant of the town of Mehun-sur-Yèvre in central France.
-
E.
Gurma
Gurma is a Gur language spoken primarily by the Gurma people in parts of Burkina Faso, Togo, Benin, and neighboring West African countries.
- 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa873ad48190a86807bd4f26df82 |
completed | April 29, 2026, 6:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0cdf4e354881908bf0660ca41468b5 |
completed | May 19, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_6a0ce3b5ab3c8190ac296adba7fee478 |
completed | May 19, 2026, 10:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ce405f894819088163add1f8f2cc5 |
completed | May 19, 2026, 10:28 p.m. |
Created at: April 17, 2026, 6:08 p.m.