Triple
T5335420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baraza la Kiswahili Zanzibar |
E123813
|
entity |
| Predicate | languageOfWork |
P15
|
FINISHED |
| Object | Kiunguja |
E21856
|
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: Kiunguja | Statement: [Baraza la Kiswahili Zanzibar, languageOfWork, Kiunguja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiunguja Context triple: [Baraza la Kiswahili Zanzibar, languageOfWork, Kiunguja]
-
A.
Kiunguja
chosen
Kiunguja is the Zanzibar-based variety of Swahili that historically served as the primary basis for the standardized form of the language.
-
B.
Kiunga
Kiunga is a river port town in Western Province, Papua New Guinea, serving as a key commercial and transport hub on the Fly River.
-
C.
Karanga
Karanga is a major dialect of the Shona language spoken primarily in southern Zimbabwe, known for its distinct phonological and lexical features.
-
D.
Kuruwita
Kuruwita is a town in Sri Lanka known for its scenic surroundings, including waterfalls and historic Buddhist sites, within the Sabaragamuwa Province.
-
E.
Lomanikoro
Lomanikoro is a village located on Kadavu Island in Fiji.
- 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85af799081909ee60bfbb65149ee |
completed | March 20, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18be4bb88190a2b83e51716e677e |
completed | March 21, 2026, 10:16 p.m. |
Created at: March 20, 2026, 2 p.m.