Triple
T30428880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cypress Mountain ski area |
E774104
|
entity |
| Predicate | hasNordicSkiing |
P134322
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Cypress Mountain ski area, hasNordicSkiing, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNordicSkiing Context triple: [Cypress Mountain ski area, hasNordicSkiing, true]
-
A.
hasAlpineSkiing
Indicates that an entity offers, features, or is associated with alpine (downhill) skiing activities or facilities.
-
B.
hasCrossCountrySkiArea
chosen
Indicates that an entity provides, includes, or is associated with a designated area or facility for cross-country skiing.
-
C.
hasSkiEvent
Indicates that an entity is associated with or hosts a ski-related event.
-
D.
hasWinterSports
Indicates that an entity offers, supports, or is associated with winter sports activities.
-
E.
hasPopularWinterSports
Indicates that a place or context is associated with winter sports that are widely practiced, enjoyed, or well-attended.
- 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_69f22491ba248190b9a4776ca8e42d02 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a003f6083608190a5deadc7291cf70e |
completed | May 10, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_6a003c935c40819085fdb255a52ba03b |
completed | May 10, 2026, 8:06 a.m. |
Created at: April 29, 2026, 8:06 p.m.