Triple
T2343737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashkun language |
E45083
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object |
Wama dialect
The Wama dialect is a regional variety of the Ashkun language spoken by Nuristani communities in eastern Afghanistan.
|
E258278
|
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: Wama dialect | Statement: [Ashkun language, hasDialects, Wama dialect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wama dialect Context triple: [Ashkun language, hasDialects, Wama dialect]
-
A.
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.
-
B.
Bajelani dialect
The Bajelani dialect is a regional variety of the Gorani language spoken by Kurdish communities in parts of the Middle East.
-
C.
Kuto-Kute dialect
The Kuto-Kute dialect is a regional variety of the Sasak language spoken on the island of Lombok in Indonesia.
-
D.
Doabi dialect
The Doabi dialect is a regional variety of Punjabi traditionally spoken in the Doaba region of the Indian state of Punjab, between the Beas and Sutlej rivers.
-
E.
Nochiya dialect
The Nochiya dialect is a regional variety of Assyrian Neo-Aramaic traditionally spoken by Assyrian communities from the Nochiya area in southeastern Turkey.
- 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: Wama dialect Triple: [Ashkun language, hasDialects, Wama dialect]
Generated description
The Wama dialect is a regional variety of the Ashkun language spoken by Nuristani communities in eastern Afghanistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wama dialect Target entity description: The Wama dialect is a regional variety of the Ashkun language spoken by Nuristani communities in eastern Afghanistan.
-
A.
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.
-
B.
Bajelani dialect
The Bajelani dialect is a regional variety of the Gorani language spoken by Kurdish communities in parts of the Middle East.
-
C.
Kuto-Kute dialect
The Kuto-Kute dialect is a regional variety of the Sasak language spoken on the island of Lombok in Indonesia.
-
D.
Doabi dialect
The Doabi dialect is a regional variety of Punjabi traditionally spoken in the Doaba region of the Indian state of Punjab, between the Beas and Sutlej rivers.
-
E.
Nochiya dialect
The Nochiya dialect is a regional variety of Assyrian Neo-Aramaic traditionally spoken by Assyrian communities from the Nochiya area in southeastern Turkey.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6ae33e881909a81a0c0def59059 |
completed | March 7, 2026, 6:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae96253f0c81908b866c656c3f5bea |
completed | March 9, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_69ae96fc0b508190b1da6aa41cddc488 |
completed | March 9, 2026, 9:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae977aac9c8190b5fecd5fea8893fd |
completed | March 9, 2026, 9:48 a.m. |
Created at: March 4, 2026, 7:52 p.m.