Triple
T26684888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Арена «Шайба» |
E672715
|
entity |
| Predicate | имеетТипЛьда |
P32069
|
FINISHED |
| Object | искусственный лед |
—
|
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: искусственный лед | Statement: [Арена «Шайба», имеетТипЛьда, искусственный лед]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: имеетТипЛьда Context triple: [Арена «Шайба», имеетТипЛьда, искусственный лед]
-
A.
hasIceSurface
chosen
Indicates that an entity possesses or is characterized by a surface composed primarily of ice.
-
B.
hasTypicalSeaIceType
Indicates the characteristic or commonly occurring type of sea ice associated with a given location or context.
-
C.
hasIceSheetType
Indicates that an entity is associated with or characterized by a specific type or classification of ice sheet.
-
D.
hasIcebergs
Indicates that one entity (typically a body of water or region) contains or is characterized by the presence of icebergs.
-
E.
hasIceFront
Indicates that an entity possesses or is characterized by an ice-covered front or leading edge.
- 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_69eecda2066c8190a344218afa5e89c1 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6173d46088190859dd8292d078771 |
completed | May 2, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:22 a.m.