Triple
T35996374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poland national under-age football teams |
E1040997
|
entity |
| Predicate | talentIdentificationSource |
P123315
|
FINISHED |
| Object | Polish youth academies |
—
|
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: Polish youth academies | Statement: [Poland national under-age football teams, talentIdentificationSource, Polish youth academies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: talentIdentificationSource Context triple: [Poland national under-age football teams, talentIdentificationSource, Polish youth academies]
-
A.
discoversTalentOf
chosen
Indicates that one entity identifies or recognizes the talent or abilities possessed by another entity.
-
B.
talentType
Indicates the specific category or kind of talent or skill associated with an entity.
-
C.
personnelSource
Indicates the origin or provider from which personnel are obtained or assigned.
-
D.
targetsSource
Indicates that something is directed at, aimed toward, or focused on a specified source as its primary origin or object.
-
E.
qualifyingSource
Indicates that one entity serves as the source or basis that provides the necessary conditions or qualifications for another entity or statement.
- 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_69f76e29084c819083987b828d414de7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7acaec1508190a38f2ac9cc5383e7 |
completed | May 3, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.