Triple
T6364015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ubykhs |
E143180
|
entity |
| Predicate | historicalRegion |
P915
|
FINISHED |
| Object | Sochi area |
E33306
|
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: Sochi area | Statement: [Ubykhs, historicalRegion, Sochi area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sochi area Context triple: [Ubykhs, historicalRegion, Sochi area]
-
A.
Sochi
chosen
Sochi is a Russian resort city on the Black Sea coast, known for its subtropical climate, beaches, and as the host of the 2014 Winter Olympics.
-
B.
Atlant Moscow Oblast
Atlant Moscow Oblast was a professional ice hockey club based in the Moscow region of Russia that competed in the Kontinental Hockey League (KHL).
-
C.
Yalta region
The Yalta region is a coastal area on the southern shore of the Crimean Peninsula, known for its resort towns, mild climate, and scenic Black Sea landscapes.
-
D.
Stavropol Upland
Stavropol Upland is a hilly elevated region in southwestern Russia known for its fertile soils and significant role in the agriculture and landscape of Stavropol Krai.
-
E.
Khimki
Khimki is a city in Moscow Oblast, Russia, forming part of the Moscow metropolitan area and known for its proximity to major transport hubs and industrial facilities.
- 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_69c008d8c61081908bcaf61510d881ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0680d51a4819098a6bcd3dfd73be4 |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d73a6ac8190a02602c3506e4226 |
completed | March 27, 2026, 7:10 a.m. |
Created at: March 22, 2026, 4:32 p.m.