Triple
T7462553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HockeyAllsvenskan |
E176285
|
entity |
| Predicate | usesShootouts |
P12108
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [HockeyAllsvenskan, usesShootouts, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesShootouts Context triple: [HockeyAllsvenskan, usesShootouts, true]
-
A.
usesPenaltyShootouts
chosen
Indicates that the outcome of a match or competition is decided by conducting penalty shootouts.
-
B.
hasShootoutInLeague
Indicates that a league match involved a shootout (e.g., penalty or tiebreak shootout) as part of its outcome or progression.
-
C.
penaltyShootoutOccurred
Indicates that a penalty shootout took place to decide the outcome of a match or contest.
-
D.
pointsForShootoutWin
Indicates the number of points awarded to a team for winning a game via a shootout.
-
E.
hasTopTenShootout
Indicates that an entity is involved in or associated with a top ten shootout event, typically a competitive session determining the ten fastest or best performers.
- 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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3d80ae08190ba383066cf0cb2ce |
completed | March 27, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c6f03bad9c8190bdd5abb86d37df47 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:39 p.m.