Triple
T17392760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burbank Ice Arena |
E422866
|
entity |
| Predicate | iceSurfaceType |
P18571
|
FINISHED |
| Object | indoor refrigerated ice |
—
|
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: indoor refrigerated ice | Statement: [Burbank Ice Arena, iceSurfaceType, indoor refrigerated ice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iceSurfaceType Context triple: [Burbank Ice Arena, iceSurfaceType, indoor refrigerated ice]
-
A.
iceSurface
Indicates that something is located on, in contact with, or forming the surface of ice.
-
B.
iceRinkType
chosen
Indicates the specific kind or category of an ice rink associated with an entity (e.g., indoor, outdoor, Olympic-sized).
-
C.
hasIceSurface
Indicates that an entity possesses or is characterized by a surface composed primarily of ice.
-
D.
iceSheetCoverage
Indicates the extent or proportion of an area that is covered by an ice sheet.
-
E.
skatingElementType
Indicates the specific type or category of a skating element performed or referenced in a skating activity or program.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43abb23888190812aad44288c90fd |
completed | April 19, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69e3b02ac8688190a7182f1b2151d721 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:45 a.m.