Triple
T33897201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian Super Cup |
E868944
|
entity |
| Predicate | ifDrawn |
P177883
|
FINISHED |
| Object | extra time or penalties may be used |
—
|
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: extra time or penalties may be used | Statement: [Norwegian Super Cup, ifDrawn, extra time or penalties may be used]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ifDrawn Context triple: [Norwegian Super Cup, ifDrawn, extra time or penalties may be used]
-
A.
ifDraw
Indicates that one entity draws, sketches, or creates a visual representation of another entity.
-
B.
drawnTo
Indicates that one entity is attracted or pulled toward another entity, whether physically, emotionally, or conceptually.
-
C.
isPainted
Indicates that one entity has applied paint to cover or decorate the surface of another entity.
-
D.
drawnUnder
Indicates that one entity is depicted or represented as being beneath another entity in a drawing or visual representation.
-
E.
isTypicallyDrawnAt
Indicates that something is most commonly or customarily depicted or illustrated at a particular time, place, or context.
- F. None of above. chosen
Provenance (4 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_69f34997703c8190866b1d404bce531f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7051ad6e4819095e82bbd64761803 |
completed | May 3, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69f700fe24e08190998e2c96fbaaad38 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f70519f114819080659840c04d7911 |
completed | May 3, 2026, 8:19 a.m. |
Created at: May 1, 2026, 1:48 a.m.