Triple
T10483063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalenjin |
E247219
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Sabaot |
E247225
|
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: Sabaot | Statement: [Kalenjin, hasDialect, Sabaot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sabaot Context triple: [Kalenjin, hasDialect, Sabaot]
-
A.
Sabaot
chosen
Sabaot is a Southern Nilotic language spoken primarily by the Sabaot people in the Mount Elgon region of Kenya and Uganda.
-
B.
Sabanalarga
Sabanalarga is a rural municipality in eastern Colombia known for its cattle ranching and agricultural activities within the Llanos (plains) region.
-
C.
Nobadia
Nobadia was a medieval Christian Nubian kingdom located in what is now northern Sudan and southern Egypt.
-
D.
Galibi
Galibi is a coastal village in northeastern Suriname known for its indigenous communities and important sea turtle nesting beaches.
-
E.
Sardoal
Sardoal is a small Portuguese municipality known for its historic village center and traditional religious and cultural festivities, located in the Centro Region of Portugal.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509678ac88190984f18a2162e2dcf |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8a03c647c81909521fee4a66ec8ac |
completed | April 10, 2026, 7:01 a.m. |
Created at: April 6, 2026, 12:22 p.m.