Triple
T20161109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Adygea |
E491703
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Adyghe |
—
|
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: Adyghe | Statement: [Coat of arms of Adygea, language, Adyghe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adyghe Context triple: [Coat of arms of Adygea, language, Adyghe]
-
A.
Adyghe
chosen
Adyghe are a Northwest Caucasian ethnic group, also known as Circassians, indigenous to the northwestern Caucasus region.
-
B.
Adygeysk
Adygeysk is a small town in southwestern Russia that serves as one of the urban centers of the Republic of Adygea.
-
C.
Abkhaz–Abaza
Abkhaz–Abaza is a small Northwest Caucasian language subgroup comprising closely related languages spoken primarily in Abkhazia and parts of the North Caucasus.
-
D.
Karachay-Balkar
Karachay-Balkar is a Turkic language spoken primarily by the Karachay and Balkar peoples in the North Caucasus region of Russia.
-
E.
Abkhazians
Abkhazians are a Northwest Caucasian ethnic group primarily inhabiting the region of Abkhazia on the eastern coast of the Black Sea, with their own distinct language, culture, and historical identity.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e43940819080f6a0b7331aaab0 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.