Triple
T35225369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Allan |
E1017078
|
entity |
| Predicate | winterSportInfrastructure |
P180679
|
FINISHED |
| Object | chairlifts at Nakiska |
—
|
LITERAL 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: chairlifts at Nakiska | Statement: [Mount Allan, winterSportInfrastructure, chairlifts at Nakiska]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winterSportInfrastructure Context triple: [Mount Allan, winterSportInfrastructure, chairlifts at Nakiska]
-
A.
hasWinterSportsInfrastructure
chosen
Indicates that a place or facility possesses the necessary structures, equipment, and amenities to support winter sports activities.
-
B.
isWinterSport
Indicates that an activity or sport is practiced primarily during the winter season or on snow/ice.
-
C.
hasWinterSports
Indicates that an entity offers, supports, or is associated with winter sports activities.
-
D.
isWinterSportEvent
Indicates that an event takes place in winter conditions and involves sports typically practiced or contested during the winter season.
-
E.
alpineSkiingVenue
Indicates that one entity serves as a venue or location where alpine skiing activities or events take place in relation to another entity.
- 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_69f76de072908190ab65038a8a7b6a79 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79533b88c8190934ec4cb21770e24 |
completed | May 3, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:02 p.m.