Triple
T22253437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kimvita dialect |
E550037
|
entity |
| Predicate | languageGroup |
P3349
|
FINISHED |
| Object | Sabaki languages |
—
|
NE NERFINISHED |
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: Sabaki languages | Statement: [Kimvita dialect, languageGroup, Sabaki languages]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sabaki languages Context triple: [Kimvita dialect, languageGroup, Sabaki languages]
-
A.
Sabaki languages
chosen
The Sabaki languages are a subgroup of Bantu languages spoken along the East African coast and nearby regions, including well-known varieties such as Swahili.
-
B.
Sena–Nyanja languages
The Sena–Nyanja languages are a group of closely related Bantu languages spoken primarily in parts of Malawi, Mozambique, and neighboring regions of southeastern Africa.
-
C.
Luhya languages
The Luhya languages are a closely related group of Bantu languages spoken primarily by the Luhya people in western Kenya.
-
D.
Bena–Mboi languages
The Bena–Mboi languages are a small group of closely related Niger–Congo languages spoken primarily in northeastern Nigeria.
-
E.
Bongo–Baka languages
The Bongo–Baka languages are a subgroup of Central Sudanic languages spoken primarily in parts of South Sudan and neighboring regions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c0c4f48190a75473a7835014f1 |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 16, 2026, 8:39 p.m.