Triple
T21777882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Astana–Almaty |
E537628
|
entity |
| Predicate | sportDisciplineCategory |
P52152
|
FINISHED |
| Object | winter sports |
—
|
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: winter sports | Statement: [Astana–Almaty, sportDisciplineCategory, winter sports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportDisciplineCategory Context triple: [Astana–Almaty, sportDisciplineCategory, winter sports]
-
A.
sportCategory
Indicates that one entity is classified as a type or category of sport to which the other entity (typically a specific sport or sporting event) belongs.
-
B.
sportClassificationSystem
Indicates a system or scheme used to categorize and organize sports into defined types, groups, or classes based on shared characteristics or rules.
-
C.
WorldCupDiscipline
Indicates a disciplinary action (such as a card, suspension, or sanction) imposed on an entity in the context of a FIFA World Cup competition.
-
D.
sportsCategory
chosen
Indicates that one entity is classified as a type or category within the domain of sports to which the other entity belongs.
-
E.
esportDiscipline
Indicates that one entity is a specific esports game or discipline in which the other entity participates or is involved.
- 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_69e0c470759c819094a215757113562b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0462b094c81908207073c278a58fe |
completed | April 28, 2026, 5:31 a.m. |
| PD | Predicate disambiguation | batch_69e6be6299988190a34c98fa76d94700 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:51 p.m.