Triple
T16709605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HC Karlovy Vary |
E406067
|
entity |
| Predicate | usesIceSurface |
P32069
|
FINISHED |
| Object | international-sized 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: international-sized rink | Statement: [HC Karlovy Vary, usesIceSurface, international-sized rink]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesIceSurface Context triple: [HC Karlovy Vary, usesIceSurface, international-sized rink]
-
A.
hasIceSurface
chosen
Indicates that an entity possesses or is characterized by a surface composed primarily of ice.
-
B.
hasIcePads
Indicates that an entity is equipped with or contains ice pads, typically used for cooling or temperature regulation.
-
C.
iceSurface
Indicates that something is located on, in contact with, or forming the surface of ice.
-
D.
hasSnowAndIce
Indicates that the subject is covered with or contains both snow and ice.
-
E.
performedOnIceRink
Indicates that an action or event took place on an ice rink as its physical setting or surface.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3865186b48190bb45a761f5cf1a83 |
completed | April 18, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69e319c379f88190ac0adf812486f598 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:20 a.m.