Triple
T17093295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kissi |
E414777
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Southern Kissi
Southern Kissi is a regional variety of the Kissi language spoken by Kissi communities in parts of West Africa.
|
E1249848
|
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: Southern Kissi | Statement: [Kissi, hasDialect, Southern Kissi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Southern Kissi Context triple: [Kissi, hasDialect, Southern Kissi]
-
A.
Southern Dagaare
Southern Dagaare is a major dialect of the Dagaare language spoken primarily in parts of Ghana and neighboring West African regions.
-
B.
Southern Bobo
Southern Bobo is a regional dialect of the Bobo language spoken by Bobo communities in West Africa.
-
C.
Southern Gumuz
Southern Gumuz is a variety of the Gumuz language spoken by the Gumuz people in parts of Ethiopia and neighboring regions.
-
D.
Western Sisaala
Western Sisaala is a dialect of the Sisaala language spoken by the Sisaala people in parts of West Africa, particularly in northern Ghana and neighboring areas.
-
E.
Southern Sama
Southern Sama is an Austronesian language spoken by the Sama-Bajau people in the southern Philippines, particularly in the Sulu Archipelago and nearby coastal areas.
- 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: Southern Kissi Triple: [Kissi, hasDialect, Southern Kissi]
Generated description
Southern Kissi is a regional variety of the Kissi language spoken by Kissi communities in parts of West Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Southern Kissi Target entity description: Southern Kissi is a regional variety of the Kissi language spoken by Kissi communities in parts of West Africa.
-
A.
Southern Dagaare
Southern Dagaare is a major dialect of the Dagaare language spoken primarily in parts of Ghana and neighboring West African regions.
-
B.
Southern Bobo
Southern Bobo is a regional dialect of the Bobo language spoken by Bobo communities in West Africa.
-
C.
Southern Gumuz
Southern Gumuz is a variety of the Gumuz language spoken by the Gumuz people in parts of Ethiopia and neighboring regions.
-
D.
Western Sisaala
Western Sisaala is a dialect of the Sisaala language spoken by the Sisaala people in parts of West Africa, particularly in northern Ghana and neighboring areas.
-
E.
Southern Sama
Southern Sama is an Austronesian language spoken by the Sama-Bajau people in the southern Philippines, particularly in the Sulu Archipelago and nearby coastal areas.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbfb89348190942984037bd3bd2e |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012eec0d5c8190806e756aae848ba2 |
completed | May 11, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a012f7f8b148190914b0d7cfb2d5c5c |
completed | May 11, 2026, 1:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a012ffb67d4819099ec8d668cb590c9 |
completed | May 11, 2026, 1:25 a.m. |
Created at: April 10, 2026, 5:35 a.m.