Triple
T16533624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germany men's national under-18 ice hockey team |
E401628
|
entity |
| Predicate | iceHockeyCategory |
P46531
|
FINISHED |
| Object | junior |
—
|
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: junior | Statement: [Germany men's national under-18 ice hockey team, iceHockeyCategory, junior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iceHockeyCategory Context triple: [Germany men's national under-18 ice hockey team, iceHockeyCategory, junior]
-
A.
typeOfHockey
Indicates a relationship where one entity is classified as a specific kind or variant of hockey.
-
B.
iceHockeyProgramLevel
chosen
Indicates the competitive or organizational tier at which an ice hockey program operates (e.g., varsity, club, junior, professional).
-
C.
WorldCupOfHockey
Indicates that there is a relationship involving participation in, hosting of, or association with the World Cup of Hockey tournament.
-
D.
iceHockeyAffiliation
Indicates an affiliation relationship between an entity and an ice hockey organization, such as a team, league, or club.
-
E.
mainIceHockeyVenue
Indicates that a location serves as the primary venue where a team or organization regularly plays its ice hockey games.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32eda42548190be61efb25a44a554 |
completed | April 18, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69e2969fab208190ad64164d24748c45 |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:15 a.m.