Triple
T22272092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Championships (wheelchair basketball) |
E550502
|
entity |
| Predicate | sportClass |
P6316
|
FINISHED |
| Object | Paralympic sport |
—
|
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: Paralympic sport | Statement: [World Championships (wheelchair basketball), sportClass, Paralympic sport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportClass Context triple: [World Championships (wheelchair basketball), sportClass, Paralympic sport]
-
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.
sportsCategory
Indicates that one entity is classified as a type or category within the domain of sports to which the other entity belongs.
-
C.
competitionClass
Indicates that one entity is classified into a particular competitive category or level within a competition or contest.
-
D.
sportClassificationSystem
Indicates a system or scheme used to categorize and organize sports into defined types, groups, or classes based on shared characteristics or rules.
-
E.
sportEventType
chosen
Indicates the specific kind or category of sport associated with a given sporting event.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14ea449648190bb89ca292d32f59d |
completed | April 29, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e72ff0363081909f794d19c8a64837 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:40 p.m.