Triple
T10483219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marakwet |
E247223
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Terik language |
E866841
|
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: Terik language | Statement: [Marakwet, closelyRelatedTo, Terik language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terik language Context triple: [Marakwet, closelyRelatedTo, Terik language]
-
A.
Terik language
chosen
The Terik language is a Southern Nilotic language spoken by the Terik people of western Kenya, closely associated with neighboring Kalenjin groups such as the Kipsigis.
-
B.
Temiar language
The Temiar language is an Austroasiatic Aslian language spoken by the Temiar people of Peninsular Malaysia, known for its complex phonology and rich oral tradition.
-
C.
Kaera language
The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
-
D.
Tikar language
The Tikar language is a Bantoid language spoken primarily by the Tikar people of central Cameroon.
-
E.
Teke-Kega language
The Teke-Kega language is a Bantu language spoken by the Teke people of Central Africa, primarily in the Republic of the Congo and surrounding regions.
- 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_69d933c5caa08190a5fba92ebf4b0ff9 |
completed | April 10, 2026, 5:30 p.m. |
Created at: April 6, 2026, 12:22 p.m.