Triple
T13801484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National League (ice hockey, Switzerland) |
E331649
|
entity |
| Predicate | averageAttendanceRankInEurope |
P84197
|
FINISHED |
| Object | among the highest for ice hockey leagues |
—
|
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: among the highest for ice hockey leagues | Statement: [National League (ice hockey, Switzerland), averageAttendanceRankInEurope, among the highest for ice hockey leagues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageAttendanceRankInEurope Context triple: [National League (ice hockey, Switzerland), averageAttendanceRankInEurope, among the highest for ice hockey leagues]
-
A.
rankingInEurope
chosen
Indicates the position or level an entity holds within a comparative ranking limited to Europe.
-
B.
averageAttendanceHigh
Indicates that the typical or mean attendance level for an event, venue, or activity is considered high relative to a defined standard or threshold.
-
C.
passengerTrafficRankInEurope
Indicates the relative position of an entity in Europe based on the volume of passenger traffic it handles.
-
D.
averageAttendanceCategory
Indicates the attendance range or classification into which an entity’s typical or mean attendance level falls.
-
E.
typicalEuropaLeagueSpots
Indicates the usual number or range of league positions that qualify a team for the UEFA Europa League in a given competition or season.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ded6c8190851c108ae559a355 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc85fb600819098a2aab48169be96 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:11 p.m.