Triple
T19281875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poronin |
E482207
|
entity |
| Predicate | hasNearbyAttraction |
P2064
|
FINISHED |
| Object | Gubałówka area |
—
|
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: Gubałówka area | Statement: [Poronin, hasNearbyAttraction, Gubałówka area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gubałówka area Context triple: [Poronin, hasNearbyAttraction, Gubałówka area]
-
A.
Gubałówka
chosen
Gubałówka is a popular hill and tourist destination in the Polish Tatra region, known for its panoramic views of Zakopane and the surrounding mountains.
-
B.
Chopok area
The Chopok area is a popular mountain region in Slovakia’s Low Tatras, known for its prominent peak, extensive hiking trails, and major ski resort facilities.
-
C.
Krzyki district
Krzyki district is a large residential and commercial area in the southern part of Wrocław, Poland, known for its mix of historic neighborhoods, green spaces, and important transport links.
-
D.
Redłowo district
Redłowo district is a coastal residential area of Gdynia in northern Poland, known for its proximity to the Baltic Sea and scenic natural surroundings.
-
E.
Białołęka district
Białołęka district is a rapidly developing residential and industrial district in the northeastern part of Warsaw, Poland.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbff1e6c819094ae6a5ad40adb65 |
completed | April 20, 2026, 10:12 a.m. |
Created at: April 10, 2026, 1:30 p.m.