Triple
T3206595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slovakia men's national under-18 ice hockey team |
E67175
|
entity |
| Predicate | representsInAgeGroup |
P19123
|
FINISHED |
| Object | junior level |
—
|
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 level | Statement: [Slovakia men's national under-18 ice hockey team, representsInAgeGroup, junior level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsInAgeGroup Context triple: [Slovakia men's national under-18 ice hockey team, representsInAgeGroup, junior level]
-
A.
portraysAgeGroup
Indicates that one entity depicts or represents another entity as belonging to a particular age group.
-
B.
ageGroup
chosen
Indicates the categorical age range or bracket to which an entity belongs.
-
C.
ageGroupRole
Indicates the role or function an entity has within a specific age group classification.
-
D.
representsMember
Indicates that one entity is a member or constituent part of another entity, such as an individual belonging to a group or organization.
-
E.
ageStatus
Indicates the relationship between an entity and its classification into an age-related category or status (e.g., minor, adult, senior).
- 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_69ad8589bd988190afa7ed2bdffb7b33 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaa56c21c8190b6aa7c56cb15ad56 |
completed | March 8, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69ad9e078f7c8190813d9fcb4f5071fb |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.