Triple
T7462549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HockeyAllsvenskan |
E176285
|
entity |
| Predicate | gameSurface |
P16157
|
FINISHED |
| Object | ice rink |
—
|
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 rink | Statement: [HockeyAllsvenskan, gameSurface, ice rink]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameSurface Context triple: [HockeyAllsvenskan, gameSurface, ice rink]
-
A.
paintingSurface
Indicates that one entity serves as the physical surface or material on which another entity is painted or depicted.
-
B.
gameElement
Indicates that one entity functions as a component, feature, or part within the structure or mechanics of a game.
-
C.
surfaceGame1And2
Indicates that the subject brings games 1 and 2 to the surface or makes them visible/accessible.
-
D.
playsOnSurface
chosen
Indicates that an entity performs or engages in an activity while being in contact with or supported by a particular surface.
-
E.
gameContext
Indicates the situational framework or environment in which a game’s actions, rules, and interactions take place.
- 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.