Triple
T26462417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danko Lazović |
E665672
|
entity |
| Predicate | continentOfClubsPlayedIn |
P166151
|
FINISHED |
| Object | Europe |
—
|
NE NERFINISHED |
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: Europe | Statement: [Danko Lazović, continentOfClubsPlayedIn, Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentOfClubsPlayedIn Context triple: [Danko Lazović, continentOfClubsPlayedIn, Europe]
-
A.
continentOfParticipatingTeams
Indicates the continent from which the participating teams in an event or competition originate.
-
B.
continentOfLeague
Indicates the continent on which a given sports league is primarily based or operates.
-
C.
primaryContinentOfTeams
Indicates that a specified continent is the main or predominant continent associated with a given set of teams.
-
D.
continentOfWinningTeam
Indicates the continent on which the team that won a given event or competition is located.
-
E.
continentOfOffice
Indicates the continent on which a given office is geographically located.
- 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_69ee883e812c8190a9b5a9cdb87fee5e |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f66003a3f48190a2ba6da5aafbb5cb |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65f75ac608190a62cd6afce14f68e |
completed | May 2, 2026, 8:32 p.m. |
Created at: April 27, 2026, 12:13 a.m.