Triple
T19971402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cyprus at the Winter Olympics |
E480083
|
entity |
| Predicate | snowSportInfrastructure |
P57535
|
FINISHED |
| Object | limited |
—
|
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: limited | Statement: [Cyprus at the Winter Olympics, snowSportInfrastructure, limited]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: snowSportInfrastructure Context triple: [Cyprus at the Winter Olympics, snowSportInfrastructure, limited]
-
A.
skiAreaType
Indicates the specific type or classification of a ski area associated with an entity (e.g., resort, backcountry, terrain park).
-
B.
alpineSkiingVenue
Indicates that one entity serves as a venue or location where alpine skiing activities or events take place in relation to another entity.
-
C.
skiAreaName
Indicates that an entity has a specific name used to identify a ski area.
-
D.
hasWinterSports
chosen
Indicates that an entity offers, supports, or is associated with winter sports activities.
-
E.
hasSkiLifts
Indicates that one location or facility is equipped with ski lifts that provide transportation for skiers or visitors.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc9694881909a31841702ab9e5f |
completed | April 20, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.