Triple
T12595218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chopok |
E300714
|
entity |
| Predicate | hasSkiArea |
P1981
|
FINISHED |
| Object | Chopok South |
E300714
|
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: Chopok South | Statement: [Chopok, hasSkiArea, Chopok South]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chopok South Context triple: [Chopok, hasSkiArea, Chopok South]
-
A.
Chopok
chosen
Chopok is a prominent mountain peak in central Slovakia’s Low Tatras range, popular for hiking, skiing, and panoramic alpine views.
-
B.
Chorkówka
Chorkówka is a village in southeastern Poland known historically as the place where pioneering oil industry chemist and pharmacist Ignacy Łukasiewicz spent his final years and died.
-
C.
Olecko
Olecko is a small town in northeastern Poland known for its lakeside setting and location within the historic region of Masuria.
-
D.
Chodzież
Chodzież is a town in west-central Poland known for its ceramics industry and picturesque lakeside setting.
-
E.
Klichaw
Klichaw is a small town in eastern Belarus known for its rural character and location within the Mogilev Region.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954cde3c0819094e74413d6dcf548 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f668679dfc8190ac05eeb200f23985 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:08 p.m.