Triple
T2876372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breckenridge Ski Resort |
E56887
|
entity |
| Predicate | hasDifficultyDistribution |
P2406
|
FINISHED |
| Object | beginner, intermediate, advanced, expert terrain |
—
|
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, intermediate, advanced, expert terrain | Statement: [Breckenridge Ski Resort, hasDifficultyDistribution, beginner, intermediate, advanced, expert terrain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDifficultyDistribution Context triple: [Breckenridge Ski Resort, hasDifficultyDistribution, beginner, intermediate, advanced, expert terrain]
-
A.
hasMeasurementDifficulty
Indicates that performing a measurement on something is challenging or problematic in some way.
-
B.
hasComplexity
Indicates that something possesses a certain level or type of complexity, often in terms of structure, behavior, or difficulty.
-
C.
difficulty
chosen
Indicates the level of challenge, complexity, or effort required to perform an action, solve a problem, or achieve a particular outcome.
-
D.
hasDistributions
Indicates that an entity is associated with one or more distributions through which it is delivered, provided, or made available.
-
E.
uniformDistinction
Indicates that a clear and consistent difference is maintained between two or more entities within a given context.
- 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_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abe0061d048190bb1e5a01e7ceb0e2 |
completed | March 7, 2026, 8:21 a.m. |
| PD | Predicate disambiguation | batch_69abdd142e4c8190b424cb0c5ff40d04 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:03 p.m.