Triple
T16767663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Izon language |
E407507
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object |
Akassa dialect
The Akassa dialect is a regional variety of the Izon (Ijaw) language spoken by communities in the Akassa area of Nigeria’s Niger Delta.
|
E1231984
|
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: Akassa dialect | Statement: [Izon language, hasDialects, Akassa dialect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akassa dialect Context triple: [Izon language, hasDialects, Akassa dialect]
-
A.
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.
-
B.
Aknogai dialect
The Aknogai dialect is a regional variety of the Nogai language spoken by Nogai communities in the North Caucasus.
-
C.
Akusha dialect
The Akusha dialect is a principal standardized variety of the Dargin language spoken in Dagestan, Russia.
-
D.
Asabu dialect
The Asabu dialect is a regional variety of the Baoulé language spoken by Baoulé communities in Côte d'Ivoire.
-
E.
Noatia dialect
The Noatia dialect is a regional variety of the Kokborok language spoken primarily by the Noatia community in Tripura, India.
- 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: Akassa dialect Triple: [Izon language, hasDialects, Akassa dialect]
Generated description
The Akassa dialect is a regional variety of the Izon (Ijaw) language spoken by communities in the Akassa area of Nigeria’s Niger Delta.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Akassa dialect Target entity description: The Akassa dialect is a regional variety of the Izon (Ijaw) language spoken by communities in the Akassa area of Nigeria’s Niger Delta.
-
A.
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.
-
B.
Aknogai dialect
The Aknogai dialect is a regional variety of the Nogai language spoken by Nogai communities in the North Caucasus.
-
C.
Akusha dialect
The Akusha dialect is a principal standardized variety of the Dargin language spoken in Dagestan, Russia.
-
D.
Asabu dialect
The Asabu dialect is a regional variety of the Baoulé language spoken by Baoulé communities in Côte d'Ivoire.
-
E.
Noatia dialect
The Noatia dialect is a regional variety of the Kokborok language spoken primarily by the Noatia community in Tripura, India.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b033d6b88190a1366a58d63b0546 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a531ea7c81908630f16f6c685d49 |
completed | May 10, 2026, 3:33 p.m. |
| NEDg | Description generation | batch_6a00a5b3ce848190a73f06d9708bfc85 |
completed | May 10, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a6734d008190bb0a5aa28826e73a |
completed | May 10, 2026, 3:38 p.m. |
Created at: April 10, 2026, 5:21 a.m.