Triple
T23310118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adyghe language |
E590558
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object |
Bzhedug dialect
The Bzhedug dialect is a regional variety of the Adyghe (Circassian) language traditionally spoken by the Bzhedug subgroup of Circassians in the North Caucasus.
|
E1580021
|
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: Bzhedug dialect | Statement: [Adyghe language, hasDialects, Bzhedug dialect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bzhedug dialect Context triple: [Adyghe language, hasDialects, Bzhedug dialect]
-
A.
Sagaysky dialect
The Sagaysky dialect is a regional variety of the Khakas language spoken by the Sagay subgroup of the Khakas people in Siberia.
-
B.
Yergyudzh dialect
The Yergyudzh dialect is a regional variety of the Kryts language, spoken by a subset of the Kryts people in the Caucasus.
-
C.
Vitskhi dialect
The Vitskhi dialect is a regional variety of the Lak language spoken by the Lak people of Dagestan in the North Caucasus.
-
D.
Abzhywa dialect
The Abzhywa dialect is a major regional variety of the Abkhaz language, traditionally spoken in the Abzhywa (Abzhua) area of Abkhazia.
-
E.
Shtul dialect
The Shtul dialect is a regional variety of the Rutul language spoken by the Rutul people of the Caucasus.
- 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: Bzhedug dialect Triple: [Adyghe language, hasDialects, Bzhedug dialect]
Generated description
The Bzhedug dialect is a regional variety of the Adyghe (Circassian) language traditionally spoken by the Bzhedug subgroup of Circassians in the North Caucasus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bzhedug dialect Target entity description: The Bzhedug dialect is a regional variety of the Adyghe (Circassian) language traditionally spoken by the Bzhedug subgroup of Circassians in the North Caucasus.
-
A.
Sagaysky dialect
The Sagaysky dialect is a regional variety of the Khakas language spoken by the Sagay subgroup of the Khakas people in Siberia.
-
B.
Yergyudzh dialect
The Yergyudzh dialect is a regional variety of the Kryts language, spoken by a subset of the Kryts people in the Caucasus.
-
C.
Vitskhi dialect
The Vitskhi dialect is a regional variety of the Lak language spoken by the Lak people of Dagestan in the North Caucasus.
-
D.
Abzhywa dialect
The Abzhywa dialect is a major regional variety of the Abkhaz language, traditionally spoken in the Abzhywa (Abzhua) area of Abkhazia.
-
E.
Shtul dialect
The Shtul dialect is a regional variety of the Rutul language spoken by the Rutul people of the Caucasus.
- 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1972acad08190bb56541b822555cd |
completed | April 29, 2026, 5:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4ca0778081908f59927efecf636e |
completed | May 19, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_6a0c4f73c6dc8190a703825a971681d4 |
completed | May 19, 2026, 11:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c4fee28188190b5e2732f37d4a14d |
completed | May 19, 2026, 11:56 a.m. |
Created at: April 17, 2026, 5:05 p.m.