Triple
T16713423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenyan |
E406163
|
entity |
| Predicate | languageSpoken |
P151
|
FINISHED |
| Object | Kalenjin |
E247219
|
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: Kalenjin | Statement: [Kenyan, languageSpoken, Kalenjin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalenjin Context triple: [Kenyan, languageSpoken, Kalenjin]
-
A.
Kalenjin
chosen
Kalenjin is a Southern Nilotic language spoken primarily in Kenya by the Kalenjin people, who are also renowned for producing many of the world’s elite long-distance runners.
-
B.
Koutiala
Koutiala is a major city in southern Mali known as an important center for cotton production and agriculture.
-
C.
Daur
The Daur are a Mongolic ethnic group of northeastern China, traditionally living along the Heilongjiang (Amur) River and known for their distinct language, culture, and history as borderland farmers and hunters.
-
D.
Daur
Daur is a town in Pakistan’s Sindh province, known as a local commercial and agricultural center within the Nawabshah (Shaheed Benazirabad) District.
-
E.
Kelluyo
Kelluyo is a small town and district capital in southern Peru’s Puno Region, known for its high Andean setting and traditional Aymara culture.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38653cdd48190863e1cc989e21f39 |
completed | April 18, 2026, 1:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091a95180819099abd50dd153e229 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:20 a.m.