Triple
T22197899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkic scripts |
E548593
|
entity |
| Predicate | usedForLanguage |
P907
|
FINISHED |
| Object | Kyrgyz |
—
|
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: Kyrgyz | Statement: [Turkic scripts, usedForLanguage, Kyrgyz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyrgyz Context triple: [Turkic scripts, usedForLanguage, Kyrgyz]
-
A.
Kyrgyz
chosen
Kyrgyz is a Turkic language primarily spoken in Kyrgyzstan and surrounding regions of Central Asia.
-
B.
Kyrgyz people
The Kyrgyz people are a Turkic ethnic group native to Central Asia, primarily inhabiting Kyrgyzstan, with a rich nomadic heritage and traditions centered around horsemanship, yurt-dwelling, and epic oral literature.
-
C.
Qaramqol
Qaramqol is a town and district center in northern Afghanistan, located within Faryab Province.
-
D.
Kyrgyzstan
Kyrgyzstan is a landlocked Central Asian country known for its mountainous terrain, nomadic heritage, and status as a former Soviet republic.
-
E.
Qarluq
Qarluq refers to a historical Turkic tribal confederation that played a key role in Central Asian politics and the formation of early Turkic states.
- 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.