Triple
T22900347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheget ski area |
E568293
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Terskol |
—
|
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: Terskol | Statement: [Cheget ski area, near, Terskol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terskol Context triple: [Cheget ski area, near, Terskol]
-
A.
Terskol
chosen
Terskol is a small settlement in Russia’s North Caucasus region, known as a gateway to Mount Elbrus and a base for mountain tourism and alpine research.
-
B.
Tullakool
Tullakool is a small rural locality in the Riverina region of New South Wales, Australia, known for its irrigated agriculture and farming community.
-
C.
Kolejorz
Kolejorz is the popular nickname of Polish football club Lech Poznań, reflecting its historic association with the railway industry.
-
D.
Schull
Schull is a small coastal village and popular tourist destination on the Mizen Peninsula in West County Cork, Ireland.
-
E.
Reedus
Reedus is the surname of American actor and model Norman Reedus, best known for his role as Daryl Dixon on the television series "The Walking Dead."
- 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1801626488190b7e8ce3301667987 |
completed | April 29, 2026, 3:50 a.m. |
Created at: April 17, 2026, 3:41 p.m.