Triple
T10483062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalenjin |
E247219
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Pokot |
E247224
|
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: Pokot | Statement: [Kalenjin, hasDialect, Pokot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pokot Context triple: [Kalenjin, hasDialect, Pokot]
-
A.
Pokot
chosen
Pokot is a Southern Nilotic language spoken primarily by the Pokot people of Kenya and eastern Uganda.
-
B.
Kamtok
Kamtok is an English-based creole widely used as a lingua franca across Cameroon in informal communication, trade, and popular culture.
-
C.
Oratam
Oratam was a Lenape sachem (chief) known for leading Native American resistance against Dutch colonial forces in 17th-century New Netherland.
-
D.
Gora
Gora is a major Bengali novel by Rabindranath Tagore that explores themes of identity, nationalism, and religious and social reform in colonial India.
-
E.
Gora
Gora is a mountainous border region in the Balkans known for its distinct Gorani Slavic Muslim community and shared cultural traditions across Kosovo, Albania, and North Macedonia.
- 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.