Triple
T7020873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA European Championship qualifying |
E162818
|
entity |
| Predicate | finalTournamentSlotsVariesByEdition |
P75300
|
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: [UEFA European Championship qualifying, finalTournamentSlotsVariesByEdition, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalTournamentSlotsVariesByEdition Context triple: [UEFA European Championship qualifying, finalTournamentSlotsVariesByEdition, yes]
-
A.
numberOfFinalTournamentTeams
Indicates the total count of teams that participate in the final stage of a tournament.
-
B.
finalTournamentParticipants
Indicates that the specified entities are the participants who qualified for and compete in the final round of a tournament.
-
C.
hasNumberOfFinalists
Indicates the relationship between an entity and the count of finalists associated with it.
-
D.
frequencyOfTournament
Indicates how often a particular tournament takes place within a given time period.
-
E.
semiFinalsHeld
Indicates that the semi-final stage of a competition or tournament has taken place or is being conducted.
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e5ecd4488190bf19e42de55da98b |
completed | March 27, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b8118481909d76eb6616160e80 |
completed | March 27, 2026, 7:59 p.m. |
| PDg | Predicate description generation | batch_69c6e5eb904481909a900e2ba9df710b |
completed | March 27, 2026, 8:17 p.m. |
Created at: March 27, 2026, 2:35 p.m.