Triple
T22852867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | short track speed skating at the 2018 Winter Olympics |
E566397
|
entity |
| Predicate | rinkSize |
P142698
|
FINISHED |
| Object | 60 m × 30 m |
—
|
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: 60 m × 30 m | Statement: [short track speed skating at the 2018 Winter Olympics, rinkSize, 60 m × 30 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rinkSize Context triple: [short track speed skating at the 2018 Winter Olympics, rinkSize, 60 m × 30 m]
-
A.
rinkType
Indicates the specific kind or category of rink associated with an entity (e.g., ice rink, roller rink, practice rink).
-
B.
minimumSize
Indicates that there is a lower bound or smallest allowable value for the size of something in the relationship.
-
C.
sizeRestriction
chosen
Indicates that there is a limitation or constraint on the allowable size or dimensions of something in the relationship.
-
D.
setSize
Indicates assigning or changing the size or dimensions of an entity.
-
E.
isSmall
Indicates that one entity has a size that is relatively small, either in absolute terms or compared to a reference standard or another 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17eba65a881908c484262c3ee5212 |
completed | April 29, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69eed2d507c08190895ed971af0fc755 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 17, 2026, 3:36 p.m.