Triple
T18153500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chukotko-Kamchatkan languages |
E434566
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Kerek language |
—
|
NE NERFINISHED |
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: Kerek language | Statement: [Chukotko-Kamchatkan languages, hasPart, Kerek language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kerek language Context triple: [Chukotko-Kamchatkan languages, hasPart, Kerek language]
-
A.
Kerek language
chosen
The Kerek language is an extinct Chukotko-Kamchatkan language once spoken by the Kerek people of northeastern Siberia in Russia.
-
B.
Kaera language
The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
-
C.
Eket language
The Eket language is a Niger-Congo language spoken by the Eket people of Akwa Ibom State in southeastern Nigeria.
-
D.
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.
-
E.
Keka language
Keka is an Austronesian language spoken on Rote Island in Indonesia, belonging to the Rote subgroup of languages.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de3a99c081908e9615072e62b02f |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:30 a.m.