Triple
T17168895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kryts language |
E416675
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Yergyudzh dialect
The Yergyudzh dialect is a regional variety of the Kryts language, spoken by a subset of the Kryts people in the Caucasus.
|
E1255846
|
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: Yergyudzh dialect | Statement: [Kryts language, hasDialect, Yergyudzh dialect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yergyudzh dialect Context triple: [Kryts language, hasDialect, Yergyudzh dialect]
-
A.
Khunzakh dialect
The Khunzakh dialect is a regional variety of the Avar language spoken in and around the village of Khunzakh in Dagestan, Russia.
-
B.
Sheshboluki dialect
The Sheshboluki dialect is a regional variety of the Qashqai Turkic language spoken by segments of the Qashqai people in southwestern Iran.
-
C.
Sagaysky dialect
The Sagaysky dialect is a regional variety of the Khakas language spoken by the Sagay subgroup of the Khakas people in Siberia.
-
D.
Ayt Sokhman dialect
The Ayt Sokhman dialect is a regional variety of Central Atlas Tamazight spoken by the Ayt Sokhman Amazigh community in Morocco.
-
E.
Vitskhi dialect
The Vitskhi dialect is a regional variety of the Lak language spoken by the Lak people of Dagestan in the North 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: Yergyudzh dialect Triple: [Kryts language, hasDialect, Yergyudzh dialect]
Generated description
The Yergyudzh dialect is a regional variety of the Kryts language, spoken by a subset of the Kryts people in the Caucasus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yergyudzh dialect Target entity description: The Yergyudzh dialect is a regional variety of the Kryts language, spoken by a subset of the Kryts people in the Caucasus.
-
A.
Khunzakh dialect
The Khunzakh dialect is a regional variety of the Avar language spoken in and around the village of Khunzakh in Dagestan, Russia.
-
B.
Sheshboluki dialect
The Sheshboluki dialect is a regional variety of the Qashqai Turkic language spoken by segments of the Qashqai people in southwestern Iran.
-
C.
Sagaysky dialect
The Sagaysky dialect is a regional variety of the Khakas language spoken by the Sagay subgroup of the Khakas people in Siberia.
-
D.
Ayt Sokhman dialect
The Ayt Sokhman dialect is a regional variety of Central Atlas Tamazight spoken by the Ayt Sokhman Amazigh community in Morocco.
-
E.
Vitskhi dialect
The Vitskhi dialect is a regional variety of the Lak language spoken by the Lak people of Dagestan in the North 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f9173ee48190bc46622c78479603 |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fc83984819098c98b75cf021e3a |
completed | May 11, 2026, 4:49 a.m. |
| NEDg | Description generation | batch_6a0160beb4188190b6e9a91f50b6e276 |
completed | May 11, 2026, 4:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016158b1d081909b62cf73e14b3e78 |
completed | May 11, 2026, 4:55 a.m. |
Created at: April 10, 2026, 5:37 a.m.