Triple
T1646496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA European Under-19 Championship |
E35593
|
entity |
| Predicate | finalTournamentParticipants |
P29812
|
FINISHED |
| Object | 8 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: 8 teams | Statement: [UEFA European Under-19 Championship, finalTournamentParticipants, 8 teams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalTournamentParticipants Context triple: [UEFA European Under-19 Championship, finalTournamentParticipants, 8 teams]
-
A.
finalists
Indicates that the related entities have advanced to the final round or stage of a competition, selection process, or evaluation.
-
B.
frozenFourParticipants
Indicates that the entities are teams that qualified for and participated in the NCAA Division I men’s ice hockey Frozen Four tournament in a given year.
-
C.
finalTeam
Indicates that an entity is the ultimate or concluding team associated with another entity or process.
-
D.
semifinalResult
Indicates the outcome or score of a semifinal-stage contest or match between competitors.
-
E.
secondRoundWinner
Indicates that the subject is the winner of the second round in a multi-round competition, contest, or process.
- 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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a919306fd48190a245fc95e0e759d9 |
completed | March 5, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69a907cc9d348190b76b0d3f596e5a81 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a9192f975c8190bfd514a4b5a8786c |
completed | March 5, 2026, 5:48 a.m. |
Created at: March 4, 2026, 7:28 p.m.