Triple
T16072797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lech Poznań |
E389903
|
entity |
| Predicate | youthAcademyKnownFor |
P27334
|
FINISHED |
| Object | developing Polish talents |
—
|
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: developing Polish talents | Statement: [Lech Poznań, youthAcademyKnownFor, developing Polish talents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: youthAcademyKnownFor Context triple: [Lech Poznań, youthAcademyKnownFor, developing Polish talents]
-
A.
notableYouthAchievement
Indicates that an entity is recognized for a significant or distinguished accomplishment achieved during its youth.
-
B.
highSchoolKnownFor
Indicates that a high school is notable or recognized for a particular characteristic, achievement, program, or feature.
-
C.
formerlyKnownFor
Indicates that an entity was previously recognized or notable for a particular role, attribute, or activity, but is no longer primarily associated with it.
-
D.
youthAcademyReputation
chosen
Indicates the perceived quality and success of an organization’s youth development system in producing and nurturing young talent.
-
E.
academyNickname
Indicates that an entity is known by a particular informal or colloquial nickname within an academy or academic institution context.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1827ad7c88190b867da511cbfb7fa |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:57 a.m.