Triple
T17168542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsez language |
E416667
|
entity |
| Predicate | hasMajorDialect |
P1254
|
FINISHED |
| Object |
Asakh dialect
The Asakh dialect is a regional variety of the Tsez language spoken by communities in the North Caucasus.
|
E1253930
|
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: Asakh dialect | Statement: [Tsez language, hasMajorDialect, Asakh dialect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asakh dialect Context triple: [Tsez language, hasMajorDialect, Asakh dialect]
-
A.
Ayt Sokhman dialect
The Ayt Sokhman dialect is a regional variety of Central Atlas Tamazight spoken by the Ayt Sokhman Amazigh community in Morocco.
-
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.
Akusha dialect
The Akusha dialect is a principal standardized variety of the Dargin language spoken in Dagestan, Russia.
-
D.
Khunzakh dialect
The Khunzakh dialect is a regional variety of the Avar language spoken in and around the village of Khunzakh in Dagestan, Russia.
-
E.
Hazaragi dialect
The Hazaragi dialect is a variety of Persian spoken primarily by the Hazara people of central Afghanistan and surrounding regions, distinguished by its unique phonology and significant Turkic and Mongolic influences.
- 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: Asakh dialect Triple: [Tsez language, hasMajorDialect, Asakh dialect]
Generated description
The Asakh dialect is a regional variety of the Tsez language spoken by communities in the North Caucasus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Asakh dialect Target entity description: The Asakh dialect is a regional variety of the Tsez language spoken by communities in the North Caucasus.
-
A.
Ayt Sokhman dialect
The Ayt Sokhman dialect is a regional variety of Central Atlas Tamazight spoken by the Ayt Sokhman Amazigh community in Morocco.
-
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.
Akusha dialect
The Akusha dialect is a principal standardized variety of the Dargin language spoken in Dagestan, Russia.
-
D.
Khunzakh dialect
The Khunzakh dialect is a regional variety of the Avar language spoken in and around the village of Khunzakh in Dagestan, Russia.
-
E.
Hazaragi dialect
The Hazaragi dialect is a variety of Persian spoken primarily by the Hazara people of central Afghanistan and surrounding regions, distinguished by its unique phonology and significant Turkic and Mongolic influences.
- 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_6a01483f85648190acaeb197013e1f1b |
completed | May 11, 2026, 3:08 a.m. |
| NEDg | Description generation | batch_6a014a1993a48190bf65e590ff57c9c2 |
completed | May 11, 2026, 3:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a014a7fa5208190a0a60649fe6292d1 |
completed | May 11, 2026, 3:18 a.m. |
Created at: April 10, 2026, 5:37 a.m.