Triple
T36299403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deštné v Orlických horách |
E893464
|
entity |
| Predicate | hasSkiResortName |
P35251
|
FINISHED |
| Object | Ski centrum Deštné |
—
|
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: Ski centrum Deštné | Statement: [Deštné v Orlických horách, hasSkiResortName, Ski centrum Deštné]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSkiResortName Context triple: [Deštné v Orlických horách, hasSkiResortName, Ski centrum Deštné]
-
A.
hasSkiResortType
Indicates that an entity is associated with, or classified by, a specific type or category of ski resort.
-
B.
hasSkiResortFeature
Indicates that a ski resort possesses or offers a specific feature, amenity, or characteristic.
-
C.
skiAreaName
chosen
Indicates that an entity has a specific name used to identify a ski area.
-
D.
hasSkiCenter
Indicates that a location or entity possesses or hosts a ski center as one of its facilities or features.
-
E.
hasSkiResortNearby
Indicates that one location is situated close enough to another location that it can be considered to have a ski resort in its vicinity.
- F. None of above.
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_69f76e4a61f0819084a2b68dbbb4efc6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.