Triple
T10483064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalenjin |
E247219
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Terik |
E247226
|
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 | Statement: [Kalenjin, hasDialect, Terik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terik Context triple: [Kalenjin, hasDialect, Terik]
-
A.
Terik
chosen
Terik is a Southern Nilotic language spoken by the Terik people of western Kenya, closely related to Nandi and other Kalenjin languages.
-
B.
The Turim
The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
-
C.
Terioki
Terioki was the former name of the Finnish coastal town now known as Zelenogorsk, a resort area near Saint Petersburg on the Gulf of Finland.
-
D.
Teron
Teron is one of the traditional clans of the Karbi people, an indigenous ethnic group primarily inhabiting the Karbi Anglong region of Assam in Northeast India.
-
E.
Teisen
Teisen is a residential neighborhood in Oslo, Norway, known for its apartment blocks, green spaces, and convenient access to public transportation.
- 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.