Triple
T19471705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khunzakh dialect |
E487137
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object | Khunzakh |
—
|
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: Khunzakh | Statement: [Khunzakh dialect, spokenIn, Khunzakh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khunzakh Context triple: [Khunzakh dialect, spokenIn, Khunzakh]
-
A.
Khunzakh
chosen
Khunzakh is a historic mountain village and former stronghold in Dagestan, Russia, traditionally associated with the Avar people and their culture.
-
B.
Qakh
Qakh is a town in northwestern Azerbaijan that serves as an administrative and cultural center near the border with Georgia and Russia.
-
C.
Shemakhan
Shemakhan is a fictional realm best known as the exotic homeland of the seductive Queen of Shemakha in Russian literature and opera.
-
D.
Zangezur
Zangezur is a mountainous historical region in the South Caucasus, largely corresponding to today’s Syunik Province in southern Armenia and parts of neighboring territories.
-
E.
Khinalug
Khinalug is one of the oldest continuously inhabited mountain villages in the Caucasus, known for its unique language and remote location in the highlands of northern Azerbaijan.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e8d9188190a4939f03bad89add |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:39 p.m.