Triple
T9269151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karekare |
E222777
|
entity |
| Predicate | hasNeighboringLanguage |
P16383
|
FINISHED |
| Object | Ngamo |
E225046
|
NE FINISHED |
How this triple was built (2 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: Ngamo | Statement: [Karekare, hasNeighboringLanguage, Ngamo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ngamo Context triple: [Karekare, hasNeighboringLanguage, Ngamo]
-
A.
Ngamo
chosen
Ngamo is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo people.
-
B.
Bagamoyo
Bagamoyo is a historic coastal town in present-day Tanzania that served as a major 19th-century East African trade and colonial center, including as an early administrative hub for German rule.
-
C.
Oshikwambi
Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
-
D.
Oshikwanyama
Oshikwanyama is a Bantu language variety spoken primarily in northern Namibia and southern Angola, recognized as one of the major dialects of Oshiwambo.
-
E.
Nyambo
Nyambo are a Bantu-speaking ethnic group primarily inhabiting Tanzania’s Kagera Region near the western shores of Lake Victoria.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca841ffe208190aa7bcffbef2f8379 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd074ef7408190b213c09491918132 |
completed | April 1, 2026, 11:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f38567048190b1fccbab145285c9 |
completed | April 4, 2026, 11:18 a.m. |
Created at: March 30, 2026, 7:33 p.m.