Triple
T14168819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamberi |
E351149
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object |
Tsishingini
Tsishingini is a Niger-Congo language spoken by the Kamberi people of northwestern Nigeria.
|
E1082888
|
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: Tsishingini | Statement: [Kamberi, language, Tsishingini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsishingini Context triple: [Kamberi, language, Tsishingini]
-
A.
Tshiguvhu
Tshiguvhu is a regional dialect of the Tshivenda language spoken by Venda communities in parts of South Africa.
-
B.
Tangtse
Tangtse is a village in the Leh district of Ladakh, India, situated along key routes between the Indus Valley and the Pangong Tso region in the Himalayas.
-
C.
Nyishi
The Nyishi are one of the major indigenous tribes of northeastern India, known for their distinct language, traditional bamboo and cane craftsmanship, and rich cultural heritage.
-
D.
Chirawa
Chirawa is a town in the Jhunjhunu district of Rajasthan, India, known for its historic havelis and traditional Rajasthani culture.
-
E.
Tenza
Tenza is a municipality in the Boyacá Department of Colombia, known for its colonial architecture and location in the scenic Tenza Valley.
- 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: Tsishingini Triple: [Kamberi, language, Tsishingini]
Generated description
Tsishingini is a Niger-Congo language spoken by the Kamberi people of northwestern Nigeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tsishingini Target entity description: Tsishingini is a Niger-Congo language spoken by the Kamberi people of northwestern Nigeria.
-
A.
Tshiguvhu
Tshiguvhu is a regional dialect of the Tshivenda language spoken by Venda communities in parts of South Africa.
-
B.
Tangtse
Tangtse is a village in the Leh district of Ladakh, India, situated along key routes between the Indus Valley and the Pangong Tso region in the Himalayas.
-
C.
Nyishi
The Nyishi are one of the major indigenous tribes of northeastern India, known for their distinct language, traditional bamboo and cane craftsmanship, and rich cultural heritage.
-
D.
Chirawa
Chirawa is a town in the Jhunjhunu district of Rajasthan, India, known for its historic havelis and traditional Rajasthani culture.
-
E.
Tenza
Tenza is a municipality in the Boyacá Department of Colombia, known for its colonial architecture and location in the scenic Tenza Valley.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b472288190b4a271daa54aa6cd |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7f779248190921c85f99f587296 |
completed | May 7, 2026, 8:37 p.m. |
| NEDg | Description generation | batch_69fcf8bb58ac81908e66156a805edda8 |
completed | May 7, 2026, 8:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcf93b528c81908c0ee11908d25574 |
completed | May 7, 2026, 8:42 p.m. |
Created at: April 10, 2026, 1 a.m.