Triple
T23661186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duško Vujošević |
E584448
|
entity |
| Predicate | teamTypeSpecialization |
P2705
|
FINISHED |
| Object | club teams |
—
|
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: club teams | Statement: [Duško Vujošević, teamTypeSpecialization, club teams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamTypeSpecialization Context triple: [Duško Vujošević, teamTypeSpecialization, club teams]
-
A.
teamSpecialty
Indicates the particular area of expertise or focus that characterizes a team’s skills or activities.
-
B.
teamEventSpecialty
Indicates that a team event is associated with a particular specialty, discipline, or specific type of competitive focus.
-
C.
unitSpecialization
Indicates that one unit is a specialized or more specific version of another unit within a hierarchical or categorical relationship.
-
D.
uniformSpecialty
Indicates that multiple entities share the same specific specialty, expertise, or area of focus.
-
E.
typeOfTeams
chosen
Indicates the categories or kinds of teams to which an entity or group of entities belongs.
- 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_69e248ffc0888190ae23c4731eb8b7ac |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b3601ce481909a4ae9d633b9a343 |
completed | April 29, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:50 p.m.