Triple
T18999885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koryak language |
E464919
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Kamenskoye dialect
The Kamenskoye dialect is a regional variety of the Koryak language traditionally spoken by Koryak communities in the Kamenskoye area of Russia’s Far East.
|
E1353379
|
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: Kamenskoye dialect | Statement: [Koryak language, hasDialect, Kamenskoye dialect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamenskoye dialect Context triple: [Koryak language, hasDialect, Kamenskoye 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.
Kachinsky dialect
The Kachinsky dialect is a regional variety of the Khakas language spoken by Khakas communities in parts of Siberia.
-
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.
Buynaksk dialect
The Buynaksk dialect is a regional variety of the Kumyk language spoken around the city of Buynaksk in Dagestan, Russia.
-
E.
Yergyudzh dialect
The Yergyudzh dialect is a regional variety of the Kryts language, spoken by a subset of the Kryts people in 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: Kamenskoye dialect Triple: [Koryak language, hasDialect, Kamenskoye dialect]
Generated description
The Kamenskoye dialect is a regional variety of the Koryak language traditionally spoken by Koryak communities in the Kamenskoye area of Russia’s Far East.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kamenskoye dialect Target entity description: The Kamenskoye dialect is a regional variety of the Koryak language traditionally spoken by Koryak communities in the Kamenskoye area of Russia’s Far East.
-
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.
Kachinsky dialect
The Kachinsky dialect is a regional variety of the Khakas language spoken by Khakas communities in parts of Siberia.
-
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.
Buynaksk dialect
The Buynaksk dialect is a regional variety of the Kumyk language spoken around the city of Buynaksk in Dagestan, Russia.
-
E.
Yergyudzh dialect
The Yergyudzh dialect is a regional variety of the Kryts language, spoken by a subset of the Kryts people in 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d684d37c8190b975f04a47fa7b92 |
completed | April 20, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05b45b9ca0819090a85f5708e9c632 |
completed | May 14, 2026, 11:39 a.m. |
| NEDg | Description generation | batch_6a05b68205948190a6846e2cd8ba66ae |
completed | May 14, 2026, 11:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05b73aa91c8190abe816e72d2f56f7 |
completed | May 14, 2026, 11:51 a.m. |
Created at: April 10, 2026, 12:01 p.m.