Triple
T14663953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyap language |
E344315
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Sholio dialect
Sholio dialect is a regional variety of the Tyap language spoken by a subset of the Tyap-speaking communities in Nigeria.
|
E1112751
|
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: Sholio dialect | Statement: [Tyap language, hasDialect, Sholio dialect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sholio dialect Context triple: [Tyap language, hasDialect, Sholio dialect]
-
A.
Akusha dialect
The Akusha dialect is a principal standardized variety of the Dargin language spoken in Dagestan, Russia.
-
B.
Kamia dialect
The Kamia dialect is a regional variety of the Ipai-Tipai language traditionally spoken by the Kamia (Kumeyaay) people of southern California and northern Baja California.
-
C.
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.
-
D.
Noatia dialect
The Noatia dialect is a regional variety of the Kokborok language spoken primarily by the Noatia community in Tripura, India.
-
E.
Kikai dialect
The Kikai dialect is a regional variety of the Amami language spoken on Kikai Island in Japan’s Ryukyu archipelago.
- 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: Sholio dialect Triple: [Tyap language, hasDialect, Sholio dialect]
Generated description
Sholio dialect is a regional variety of the Tyap language spoken by a subset of the Tyap-speaking communities in Nigeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sholio dialect Target entity description: Sholio dialect is a regional variety of the Tyap language spoken by a subset of the Tyap-speaking communities in Nigeria.
-
A.
Akusha dialect
The Akusha dialect is a principal standardized variety of the Dargin language spoken in Dagestan, Russia.
-
B.
Kamia dialect
The Kamia dialect is a regional variety of the Ipai-Tipai language traditionally spoken by the Kamia (Kumeyaay) people of southern California and northern Baja California.
-
C.
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.
-
D.
Noatia dialect
The Noatia dialect is a regional variety of the Kokborok language spoken primarily by the Noatia community in Tripura, India.
-
E.
Kikai dialect
The Kikai dialect is a regional variety of the Amami language spoken on Kikai Island in Japan’s Ryukyu archipelago.
- 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.