Triple
T21675559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belye Medvedi Chelyabinsk |
E534959
|
entity |
| Predicate | countryTopYouthLeague |
P145399
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Belye Medvedi Chelyabinsk, countryTopYouthLeague, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryTopYouthLeague Context triple: [Belye Medvedi Chelyabinsk, countryTopYouthLeague, yes]
-
A.
includesYouthLeagues
Indicates that the subject entity offers, contains, or is associated with organized leagues or programs specifically for youth participants.
-
B.
youthPlayer
Indicates a relationship where an individual is a member of, or plays for, the youth or junior division of a team, club, or organization.
-
C.
bestYoungPlayer
Indicates that the subject is recognized as the most outstanding young player within a given group, competition, or context.
-
D.
developmentLeagueFor
Indicates that one entity serves as a developmental or minor league affiliate for another, typically higher-level, sports team or organization.
-
E.
bestResultFIFA U-20 World CupYear
Indicates the best performance or final standing an entity achieved in a given year’s FIFA U-20 World Cup.
- 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_69e0c46898008190aa618a4af55bd1ee |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef8a0f85748190944b9425ffed02ee |
completed | April 27, 2026, 4:08 p.m. |
| PD | Predicate disambiguation | batch_69e6968abfdc81909cf9e0bd72db9eca |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69cb4bcbc8190a4fc2d508df107be |
completed | April 20, 2026, 9:37 p.m. |
Created at: April 16, 2026, 6:42 p.m.