Triple
T21053808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kami language |
E518655
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Kikami (of Tanzania)
Kikami (of Tanzania) is an alternative name for the Kami language, a Bantu language spoken in Tanzania.
|
E1464747
|
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: Kikami (of Tanzania) | Statement: [Kami language, hasAlternativeName, Kikami (of Tanzania)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kikami (of Tanzania) Context triple: [Kami language, hasAlternativeName, Kikami (of Tanzania)]
-
A.
Makonde
Makonde is a Bantu language spoken primarily by the Makonde people of northern Mozambique and southern Tanzania.
-
B.
Bembe (Tanzania)
Bembe (Tanzania) are an ethnic group in western Tanzania known for their Bantu language, agrarian lifestyle, and rich musical and ritual traditions.
-
C.
Sari, Tanzania
Sari, Tanzania is a village in northern Tanzania, likely situated in the Kilimanjaro or Arusha region, known as a small rural settlement within the country.
-
D.
Madi of Uganda
Madi of Uganda is a regional variety of the Madi language spoken by Madi communities in northern Uganda.
-
E.
Kamau
Kamau is a masculine given name of African origin, notably borne by American comedian and television host W. Kamau Bell.
- 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: Kikami (of Tanzania) Triple: [Kami language, hasAlternativeName, Kikami (of Tanzania)]
Generated description
Kikami (of Tanzania) is an alternative name for the Kami language, a Bantu language spoken in Tanzania.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kikami (of Tanzania) Target entity description: Kikami (of Tanzania) is an alternative name for the Kami language, a Bantu language spoken in Tanzania.
-
A.
Makonde
Makonde is a Bantu language spoken primarily by the Makonde people of northern Mozambique and southern Tanzania.
-
B.
Bembe (Tanzania)
Bembe (Tanzania) are an ethnic group in western Tanzania known for their Bantu language, agrarian lifestyle, and rich musical and ritual traditions.
-
C.
Sari, Tanzania
Sari, Tanzania is a village in northern Tanzania, likely situated in the Kilimanjaro or Arusha region, known as a small rural settlement within the country.
-
D.
Madi of Uganda
Madi of Uganda is a regional variety of the Madi language spoken by Madi communities in northern Uganda.
-
E.
Kamau
Kamau is a masculine given name of African origin, notably borne by American comedian and television host W. Kamau Bell.
- 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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd7e087c81908712ddc63e8b1e6c |
completed | April 21, 2026, 4:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0950666f7c8190887911302eb02940 |
completed | May 17, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a095247e93881908d3bd15a97169937 |
completed | May 17, 2026, 5:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0952af83108190ad14c26968109489 |
completed | May 17, 2026, 5:31 a.m. |
Created at: April 16, 2026, 2:36 p.m.