Triple
T20598190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Buller ski resort |
E506104
|
entity |
| Predicate | offersCrossCountrySkiing |
P134322
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Mount Buller ski resort, offersCrossCountrySkiing, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersCrossCountrySkiing Context triple: [Mount Buller ski resort, offersCrossCountrySkiing, yes]
-
A.
hasCrossCountrySkiArea
chosen
Indicates that an entity provides, includes, or is associated with a designated area or facility for cross-country skiing.
-
B.
offersCatSkiing
Indicates that an entity provides cat skiing services or opportunities to others.
-
C.
crossCountrySkiingVenue
Indicates that a location serves as a venue or site where cross-country skiing activities or events take place.
-
D.
hasWinterSports
Indicates that an entity offers, supports, or is associated with winter sports activities.
-
E.
hasNightSkiing
Indicates that a location or facility offers skiing activities that take place during nighttime under artificial lighting.
- 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_69e0b4ba6ae88190af871e1f9522c704 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aa1e251c8190926dafe1402eb63c |
completed | April 20, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69e59fffe1748190825e4eaa90340631 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:40 a.m.