Triple
T7115065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borovets resort |
E165796
|
entity |
| Predicate | hasSkiRunType |
P47226
|
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: [Borovets resort, hasSkiRunType, beginner slopes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSkiRunType Context triple: [Borovets resort, hasSkiRunType, beginner slopes]
-
A.
hasSkiRaceCourse
Indicates that an entity includes, contains, or is associated with a designated ski race course.
-
B.
hasSkiLiftType
Indicates the specific type or category of ski lift associated with an entity.
-
C.
hasPisteType
chosen
Indicates that an entity (such as a ski run or trail) is associated with a specific type or category of piste.
-
D.
skiAreaType
Indicates the specific type or classification of a ski area associated with an entity (e.g., resort, backcountry, terrain park).
-
E.
hasSkiPassSystem
Indicates that there exists a ski pass system associated with or implemented at the referenced 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5f401b881909ef4c2ab1e0750db |
completed | March 27, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c4f9788190830288d00cc37026 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:43 p.m.