Triple
T22197898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkic scripts |
E548593
|
entity |
| Predicate | usedForLanguage |
P907
|
FINISHED |
| Object | Kazakh |
—
|
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: Kazakh | Statement: [Turkic scripts, usedForLanguage, Kazakh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kazakh Context triple: [Turkic scripts, usedForLanguage, Kazakh]
-
A.
Kazakh language
chosen
The Kazakh language is a Turkic language spoken primarily in Kazakhstan and surrounding regions, written today mainly in Cyrillic but also in Latin and Arabic scripts.
-
B.
Kazakhs
Kazakhs are a Turkic ethnic group native to the Central Asian steppe, known for their nomadic heritage, distinct language, and cultural traditions centered in modern-day Kazakhstan.
-
C.
Kyrgyz
Kyrgyz is a Turkic language primarily spoken in Kyrgyzstan and surrounding regions of Central Asia.
-
D.
Tuvan
Tuvan is a Turkic language spoken primarily in the Tuva Republic of Russia, known for its rich oral traditions and association with Tuvan throat singing.
-
E.
Turkmen language
The Turkmen language is a Turkic language spoken primarily in Turkmenistan and surrounding regions, closely related to Turkish and other Oghuz 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_69e11e3ecc7c8190b5f94cd8f42e9d37 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12ae8c74c819080c7f9e8383ecaa7 |
completed | April 28, 2026, 9:47 p.m. |
Created at: April 16, 2026, 8:36 p.m.