Triple
T20834659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Segeju |
E512927
|
entity |
| Predicate | languageSubgroup |
P1967
|
FINISHED |
| Object | Sabaki |
—
|
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 | Statement: [Segeju, languageSubgroup, Sabaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sabaki Context triple: [Segeju, languageSubgroup, Sabaki]
-
A.
Sabaki
Sabaki is a town in Kenya that serves as the main urban center near the Athi River settlements.
-
B.
Sabaki
chosen
Sabaki is a subgroup of Bantu languages spoken along the East African coast, including well-known languages such as Swahili.
-
C.
Sabaki River
The Sabaki River is one of Kenya’s major rivers, flowing from the central highlands to the Indian Ocean and supporting important ecosystems and communities along its course.
-
D.
Semliki River
The Semliki River is a major river in Central Africa that flows from Lake Edward through the Democratic Republic of the Congo and Uganda, forming part of their border before reaching Lake Albert.
-
E.
Kyambura River
Kyambura River is a waterway in southwestern Uganda that flows through the dramatic Kyambura Gorge within Queen Elizabeth National Park, supporting rich wildlife and lush riparian habitats.
- 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c32622c481908b8d2159bd5bb0ad |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:42 p.m.