Triple
T9352291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngamo |
E225046
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Yaya dialect
The Yaya dialect is a regional variety of the Ngamo language spoken by communities in northeastern Nigeria.
|
E793218
|
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: Yaya dialect | Statement: [Ngamo, hasDialect, Yaya dialect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yaya dialect Context triple: [Ngamo, hasDialect, Yaya dialect]
-
A.
Mabuyag dialect
The Mabuyag dialect is a regional variety of the Torres Strait Islander language traditionally spoken by the community of Mabuyag Island in the Torres Strait, Australia.
-
B.
Lolobi dialect
The Lolobi dialect is a regional variety of the Siwu language spoken by the Lolobi people in the Volta Region of Ghana.
-
C.
Addu dialect
The Addu dialect is a regional variety of the Dhivehi language traditionally spoken in the Addu Atoll of the Maldives, known for its distinctive phonological and lexical features.
-
D.
Kejia dialect
The Kejia dialect is a major Sinitic language variety spoken by the Hakka people, known for its distinct phonology and vocabulary within the Chinese language family.
-
E.
Bajelani dialect
The Bajelani dialect is a regional variety of the Gorani language spoken by Kurdish communities in parts of the Middle East.
- 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: Yaya dialect Triple: [Ngamo, hasDialect, Yaya dialect]
Generated description
The Yaya dialect is a regional variety of the Ngamo language spoken by communities in northeastern Nigeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yaya dialect Target entity description: The Yaya dialect is a regional variety of the Ngamo language spoken by communities in northeastern Nigeria.
-
A.
Mabuyag dialect
The Mabuyag dialect is a regional variety of the Torres Strait Islander language traditionally spoken by the community of Mabuyag Island in the Torres Strait, Australia.
-
B.
Lolobi dialect
The Lolobi dialect is a regional variety of the Siwu language spoken by the Lolobi people in the Volta Region of Ghana.
-
C.
Addu dialect
The Addu dialect is a regional variety of the Dhivehi language traditionally spoken in the Addu Atoll of the Maldives, known for its distinctive phonological and lexical features.
-
D.
Kejia dialect
The Kejia dialect is a major Sinitic language variety spoken by the Hakka people, known for its distinct phonology and vocabulary within the Chinese language family.
-
E.
Bajelani dialect
The Bajelani dialect is a regional variety of the Gorani language spoken by Kurdish communities in parts of the Middle East.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f93a9848190ad2ae24f2aa607d2 |
completed | April 1, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e44f0a7881908b53a97715f4c6da |
completed | April 4, 2026, 10:13 a.m. |
| NEDg | Description generation | batch_69d0e5752a38819089b23ac52f0a6a39 |
completed | April 4, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0e64cb4dc81908cef7d729d9cfb4d |
completed | April 4, 2026, 10:22 a.m. |
Created at: March 30, 2026, 7:41 p.m.