Triple
T3206604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slovakia men's national under-18 ice hockey team |
E67175
|
entity |
| Predicate | ageGroupOfPlayers |
P19123
|
FINISHED |
| Object | under-18 male players |
—
|
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: under-18 male players | Statement: [Slovakia men's national under-18 ice hockey team, ageGroupOfPlayers, under-18 male players]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageGroupOfPlayers Context triple: [Slovakia men's national under-18 ice hockey team, ageGroupOfPlayers, under-18 male players]
-
A.
ageGroup
chosen
Indicates the categorical age range or bracket to which an entity belongs.
-
B.
ageRange
Indicates the span of ages within which an entity or relationship is considered valid or applicable.
-
C.
ageGroupRole
Indicates the role or function an entity has within a specific age group classification.
-
D.
featuredPlayerAge
Indicates the age of the player who is designated as the featured or highlighted participant in a given context.
-
E.
fifaU20WWC_ageCategory
Indicates the age-based competition category associated with participation in the FIFA U-20 Women's World Cup.
- 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.