Triple
T7565762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shayba Arena |
E178907
|
entity |
| Predicate | hasParalympicSportDiscipline |
P15646
|
FINISHED |
| Object | ice sledge hockey |
—
|
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: ice sledge hockey | Statement: [Shayba Arena, hasParalympicSportDiscipline, ice sledge hockey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParalympicSportDiscipline Context triple: [Shayba Arena, hasParalympicSportDiscipline, ice sledge hockey]
-
A.
hasOlympicDiscipline
Indicates that an entity (typically a sport) includes or is associated with a specific discipline as recognized in the Olympic Games.
-
B.
hasParalympicFunction
Indicates that an entity serves a specific role, duty, or function within the context of the Paralympic Games or Paralympic movement.
-
C.
includesParalympicDivision
chosen
Indicates that an entity (such as a sport, event, or competition) has a designated division or category specifically for Paralympic or para-athlete participation.
-
D.
hasWonParalympicMedal
Indicates that an entity has earned at least one medal in a Paralympic Games competition.
-
E.
disabilitySport
Indicates that an activity or competition is a sport specifically designed for or practiced by people with disabilities.
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8fde87c81909795fc713d7378ff |
completed | March 27, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69c6f4dc485c819080da13e3b7f4f08f |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:50 p.m.