Triple
T14663952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyap language |
E344315
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Gworok dialect
The Gworok dialect is a regional variety of the Tyap language spoken by the Gworok (Kagoro) people in southern Kaduna State, Nigeria.
|
E1112750
|
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: Gworok dialect | Statement: [Tyap language, hasDialect, Gworok dialect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gworok dialect Context triple: [Tyap language, hasDialect, Gworok dialect]
-
A.
Babolki dialect
The Babolki dialect is a regional variety of the Mazanderani language traditionally spoken around the city of Babol in northern Iran.
-
B.
Krakolye dialect
The Krakolye dialect is a regional variety of the Votic language traditionally spoken in and around the village of Krakolye in Ingria.
-
C.
Aknogai dialect
The Aknogai dialect is a regional variety of the Nogai language spoken by Nogai communities in the North Caucasus.
-
D.
Deogrom dialect
The Deogrom dialect is a regional variety of the Prasuni language spoken by a specific community in the Deogrom area.
-
E.
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.
- 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: Gworok dialect Triple: [Tyap language, hasDialect, Gworok dialect]
Generated description
The Gworok dialect is a regional variety of the Tyap language spoken by the Gworok (Kagoro) people in southern Kaduna State, Nigeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gworok dialect Target entity description: The Gworok dialect is a regional variety of the Tyap language spoken by the Gworok (Kagoro) people in southern Kaduna State, Nigeria.
-
A.
Babolki dialect
The Babolki dialect is a regional variety of the Mazanderani language traditionally spoken around the city of Babol in northern Iran.
-
B.
Krakolye dialect
The Krakolye dialect is a regional variety of the Votic language traditionally spoken in and around the village of Krakolye in Ingria.
-
C.
Aknogai dialect
The Aknogai dialect is a regional variety of the Nogai language spoken by Nogai communities in the North Caucasus.
-
D.
Deogrom dialect
The Deogrom dialect is a regional variety of the Prasuni language spoken by a specific community in the Deogrom area.
-
E.
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.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54ae5ac81908cc69891f280e5f7 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5e4789481909a64622a1d284373 |
completed | May 8, 2026, 12:24 p.m. |
| NEDg | Description generation | batch_69fdd9b5d7988190927e88feef6a972f |
completed | May 8, 2026, 12:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fddaa56f4c8190ba56af6a7a56a201 |
completed | May 8, 2026, 12:44 p.m. |
Created at: April 10, 2026, 1:27 a.m.