Triple
T26390156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austrian Football Association |
E663387
|
entity |
| Predicate | usesPrimaryCompetitionBallSport |
P1080
|
FINISHED |
| Object | football |
—
|
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: football | Statement: [Austrian Football Association, usesPrimaryCompetitionBallSport, football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPrimaryCompetitionBallSport Context triple: [Austrian Football Association, usesPrimaryCompetitionBallSport, football]
-
A.
officialBallSport
Indicates that a sport is officially recognized as a ball sport, i.e., one whose play fundamentally involves the use of a ball.
-
B.
competitionBallFor
Indicates that two or more entities are actively contesting possession or control of the same ball.
-
C.
usesBallSport
Indicates that an activity or event involves the use of a ball as part of a sport.
-
D.
usesCompetition
Indicates that one entity employs or leverages another entity as a competitor or within a competitive context.
-
E.
primarySport
chosen
Indicates the main sport with which an entity (such as a person, team, or organization) is most closely associated or primarily 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_69ee88374adc81909868f3bab374a32f |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 26, 2026, 11:25 p.m.