Triple
T24350321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Druskininkai |
E613767
|
entity |
| Predicate | hasIndoorSkiSlope |
P148932
|
FINISHED |
| Object | Snow Arena |
—
|
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: Snow Arena | Statement: [Druskininkai, hasIndoorSkiSlope, Snow Arena]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIndoorSkiSlope Context triple: [Druskininkai, hasIndoorSkiSlope, Snow Arena]
-
A.
hasIndoorSkiArena
chosen
Indicates that one entity possesses or includes an indoor ski arena as a facility or feature.
-
B.
hasSkiAreaAccess
Indicates that an entity provides direct access to, or is directly connected with, a ski area or ski facilities.
-
C.
hasSkiCenter
Indicates that a location or entity possesses or hosts a ski center as one of its facilities or features.
-
D.
hasSkiResortFeature
Indicates that a ski resort possesses or offers a specific feature, amenity, or characteristic.
-
E.
isSkiDestination
Indicates that a place serves as a location suitable or commonly used for skiing activities.
- 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_69e2d7ddd29481909e7f539a6072bd71 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29344061081908ffcb85787f334a2 |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 1:59 a.m.