Triple
T6756099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brown Bears women's ice hockey |
E154462
|
entity |
| Predicate | homeIceSurfaceType |
P18571
|
FINISHED |
| Object | indoor ice rink |
—
|
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 ice rink | Statement: [Brown Bears women's ice hockey, homeIceSurfaceType, indoor ice rink]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeIceSurfaceType Context triple: [Brown Bears women's ice hockey, homeIceSurfaceType, indoor ice rink]
-
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.
homeIceAdvantageBasedOn
Indicates that the degree of home-ice advantage is determined or influenced by the specified factor or condition.
-
D.
homeFieldSurface
Indicates the type of playing surface used at a team's home field or stadium.
-
E.
hasIceSurface
Indicates that an entity possesses or is characterized by a surface composed primarily of ice.
- 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_69c6880fd5808190be684854081e27dd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d327e37081909d576e6eff9eec97 |
completed | March 27, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69c6d09227108190b253b91967831a85 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:11 p.m.