Triple
T13815071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | short track speed skating at the 1992 Winter Olympics |
E331991
|
entity |
| Predicate | typeOfIceRink |
P18571
|
FINISHED |
| Object | indoor 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 rink | Statement: [short track speed skating at the 1992 Winter Olympics, typeOfIceRink, indoor rink]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfIceRink Context triple: [short track speed skating at the 1992 Winter Olympics, typeOfIceRink, indoor rink]
-
A.
iceRinkType
chosen
Indicates the specific kind or category of an ice rink associated with an entity (e.g., indoor, outdoor, Olympic-sized).
-
B.
iceRinkName
Indicates that an entity has the specified name of an ice rink.
-
C.
hasIceRinkDimensions
Indicates that an entity possesses or is characterized by specific ice rink measurements or size specifications.
-
D.
playsOnRinkType
Indicates that an entity participates in a game or activity on a specific type of rink surface or rink configuration.
-
E.
iceSurface
Indicates that something is located on, in contact with, or forming the surface 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02806e148190996f58934e66d7d8 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc862e9608190bd8a3d883959b7e4 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:12 p.m.