Triple
T22638149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerler ski resort |
E558737
|
entity |
| Predicate | hasSkiDiscipline |
P89882
|
FINISHED |
| Object | alpine skiing |
—
|
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: alpine skiing | Statement: [Cerler ski resort, hasSkiDiscipline, alpine skiing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSkiDiscipline Context triple: [Cerler ski resort, hasSkiDiscipline, alpine skiing]
-
A.
hasSkiDisciplineNamedAfter
Indicates that a person or entity has a ski discipline that is named after them.
-
B.
hasSkiFlyingHill
Indicates that an entity possesses or includes a ski flying hill as one of its features or facilities.
-
C.
typeOfSkiing
chosen
Indicates that one entity is a specific style, category, or kind of skiing in relation to another.
-
D.
hasSkiRaceCourse
Indicates that an entity includes, contains, or is associated with a designated ski race course.
-
E.
hasRacingDiscipline
Indicates that an entity participates in, is associated with, or is characterized by a specific type or category of racing discipline.
- 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_69e24547f7fc819086e2c4ba3b979657 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1700f9fac8190b82190a54be22413 |
completed | April 29, 2026, 2:42 a.m. |
| PD | Predicate disambiguation | batch_69ee6294c4c08190b7e4829f4b9af24b |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:04 p.m.