Triple
T7513652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nogai language |
E177586
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Aknogai dialect
The Aknogai dialect is a regional variety of the Nogai language spoken by Nogai communities in the North Caucasus.
|
E670721
|
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: Aknogai dialect | Statement: [Nogai language, hasDialect, Aknogai dialect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aknogai dialect Context triple: [Nogai language, hasDialect, Aknogai dialect]
-
A.
Akusha dialect
The Akusha dialect is a principal standardized variety of the Dargin language spoken in Dagestan, Russia.
-
B.
Nohurli dialect
The Nohurli dialect is a regional variety of Turkmen spoken by the Nohur people in parts of Turkmenistan, distinguished by its unique phonetic and lexical features.
-
C.
Satawan dialect
The Satawan dialect is a regional variety of the Mortlockese language spoken primarily on Satawan Atoll in the Federated States of Micronesia.
-
D.
Namoluk dialect
The Namoluk dialect is a regional variety of the Mortlockese language spoken primarily on Namoluk Atoll in the Federated States of Micronesia.
-
E.
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.
- 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: Aknogai dialect Triple: [Nogai language, hasDialect, Aknogai dialect]
Generated description
The Aknogai dialect is a regional variety of the Nogai language spoken by Nogai communities in the North Caucasus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aknogai dialect Target entity description: The Aknogai dialect is a regional variety of the Nogai language spoken by Nogai communities in the North Caucasus.
-
A.
Akusha dialect
The Akusha dialect is a principal standardized variety of the Dargin language spoken in Dagestan, Russia.
-
B.
Nohurli dialect
The Nohurli dialect is a regional variety of Turkmen spoken by the Nohur people in parts of Turkmenistan, distinguished by its unique phonetic and lexical features.
-
C.
Satawan dialect
The Satawan dialect is a regional variety of the Mortlockese language spoken primarily on Satawan Atoll in the Federated States of Micronesia.
-
D.
Namoluk dialect
The Namoluk dialect is a regional variety of the Mortlockese language spoken primarily on Namoluk Atoll in the Federated States of Micronesia.
-
E.
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.
- 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_69c69f2891148190a484f3b8222c6f1b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5d6ccb08190a568a9b58bfbd0cc |
completed | March 27, 2026, 9:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84619aac8819083a1d7380f4b30d3 |
completed | March 28, 2026, 9:20 p.m. |
| NEDg | Description generation | batch_69c847d251f081909f77d851be07948c |
completed | March 28, 2026, 9:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8487229548190861491b1b0720adb |
completed | March 28, 2026, 9:30 p.m. |
Created at: March 27, 2026, 3:45 p.m.