Triple
T3069410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perisher Ski Resort |
E62183
|
entity |
| Predicate | hasRunType |
P44241
|
FINISHED |
| Object | beginner slopes |
—
|
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: beginner slopes | Statement: [Perisher Ski Resort, hasRunType, beginner slopes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRunType Context triple: [Perisher Ski Resort, hasRunType, beginner slopes]
-
A.
hasRuntimeType
Indicates that an entity is of, or conforms to, a specific type when evaluated at runtime rather than at compile time.
-
B.
hasOperationType
Indicates the specific kind or category of operation associated with an entity or process.
-
C.
hasActivityType
Indicates the specific kind or category of activity associated with an entity or event.
-
D.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
E.
hasRunwayType
Indicates that an airport or airfield has a runway of a specified type or surface classification.
- F. None of above. chosen
Provenance (4 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada100f0b8819095da366fdc6803a8 |
completed | March 8, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69ad9624b7a0819091d255614f5819ea |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f7630c81908e1ca8a69611cff6 |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3:02 p.m.