Triple
T22253466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kimvita dialect |
E550037
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Kiswahili cha Kimvita |
—
|
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: Kiswahili cha Kimvita | Statement: [Kimvita dialect, hasAlternativeName, Kiswahili cha Kimvita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiswahili cha Kimvita Context triple: [Kimvita dialect, hasAlternativeName, Kiswahili cha Kimvita]
-
A.
Kiswah
Kiswah is the ornate black cloth embroidered with Quranic verses that traditionally drapes and adorns the Kaaba in Mecca.
-
B.
Mvomero
Mvomero is a district and rural town in eastern Tanzania known for its agricultural activities within the Morogoro Region.
-
C.
Chimwiini
chosen
Chimwiini is a Bantu language of the Sabaki subgroup spoken primarily along the southern Somali coast, closely related to Swahili.
-
D.
Chitegu Chinte
Chitegu Chinte is a notable film directed by acclaimed Indian filmmaker M.S. Sathyu.
-
E.
Kijitonyama
Kijitonyama is a residential and commercial neighborhood in Dar es Salaam, Tanzania, known as one of the urban wards within the Kinondoni District.
- 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.