Triple
T3451349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyrgyz |
E72799
|
entity |
| Predicate | hasStandardForm |
P103
|
FINISHED |
| Object | Standard Kyrgyz |
E72799
|
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: Standard Kyrgyz | Statement: [Kyrgyz, hasStandardForm, Standard Kyrgyz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Standard Kyrgyz Context triple: [Kyrgyz, hasStandardForm, Standard Kyrgyz]
-
A.
Kyrgyz
chosen
Kyrgyz is a Turkic language primarily spoken in Kyrgyzstan and surrounding regions of Central Asia.
-
B.
Kazakh language
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.
-
C.
Saryk dialect
The Saryk dialect is a regional variety of the Turkmen language traditionally spoken by the Saryk Turkmen people of Central Asia.
-
D.
Turkmen language
The Turkmen language is a Turkic language spoken primarily in Turkmenistan and surrounding regions, closely related to Turkish and other Oghuz languages.
-
E.
Kyrgyz Canadian
A Kyrgyz Canadian is a Canadian resident or citizen of ethnic Kyrgyz origin, typically with cultural roots in Kyrgyzstan and connections to the broader Kyrgyz diaspora.
- 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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba7465248190947f9096e230e1c4 |
completed | March 8, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360ef69308190a11f37ddbf3bbc7b |
completed | March 13, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:16 p.m.