Triple
T6771451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sehwi language |
E155050
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object |
Bekwai Sehwi
Bekwai Sehwi is a dialectal variety of the Sehwi language spoken by the Sehwi people in and around the Bekwai area of Ghana.
|
E617326
|
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: Bekwai Sehwi | Statement: [Sehwi language, hasDialects, Bekwai Sehwi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bekwai Sehwi Context triple: [Sehwi language, hasDialects, Bekwai Sehwi]
-
A.
Gwan-eum
Gwan-eum is the Korean name for Guanyin, the bodhisattva of compassion widely revered in East Asian Buddhism.
-
B.
Bairi Piya
Bairi Piya is a popular Hindi film song best known for being one of Shreya Ghoshal’s breakthrough performances in Bollywood playback singing.
-
C.
Sojin
Sojin is a given name, often used in East Asian cultures, that can refer to various individuals in entertainment, arts, and other fields.
-
D.
Kwan
Kwan is a Chinese-origin surname shared by many individuals, including the renowned American figure skater Michelle Kwan.
-
E.
Hanguk Suhwagi
Hanguk Suhwagi is the Korean Sign Language used by the Deaf community in South Korea for everyday communication and cultural expression.
- 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: Bekwai Sehwi Triple: [Sehwi language, hasDialects, Bekwai Sehwi]
Generated description
Bekwai Sehwi is a dialectal variety of the Sehwi language spoken by the Sehwi people in and around the Bekwai area of Ghana.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bekwai Sehwi Target entity description: Bekwai Sehwi is a dialectal variety of the Sehwi language spoken by the Sehwi people in and around the Bekwai area of Ghana.
-
A.
Gwan-eum
Gwan-eum is the Korean name for Guanyin, the bodhisattva of compassion widely revered in East Asian Buddhism.
-
B.
Bairi Piya
Bairi Piya is a popular Hindi film song best known for being one of Shreya Ghoshal’s breakthrough performances in Bollywood playback singing.
-
C.
Sojin
Sojin is a given name, often used in East Asian cultures, that can refer to various individuals in entertainment, arts, and other fields.
-
D.
Kwan
Kwan is a Chinese-origin surname shared by many individuals, including the renowned American figure skater Michelle Kwan.
-
E.
Hanguk Suhwagi
Hanguk Suhwagi is the Korean Sign Language used by the Deaf community in South Korea for everyday communication and cultural expression.
- 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_69c68812ef7c819099369f51febb725c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2496fa08190895d8b625fb0d699 |
completed | March 27, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712c46b70819097401afab991c808 |
completed | March 27, 2026, 11:29 p.m. |
| NEDg | Description generation | batch_69c713853bf88190a8a07fd9f4ea1687 |
completed | March 27, 2026, 11:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c713ead2a48190bbf95caf2ca8d997 |
completed | March 27, 2026, 11:34 p.m. |
Created at: March 27, 2026, 2:13 p.m.