Triple
T6899159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | League D |
E159448
|
entity |
| Predicate | tieToTournament |
P74010
|
FINISHED |
| Object | UEFA Euro play-off berths in some editions |
—
|
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: UEFA Euro play-off berths in some editions | Statement: [League D, tieToTournament, UEFA Euro play-off berths in some editions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tieToTournament Context triple: [League D, tieToTournament, UEFA Euro play-off berths in some editions]
-
A.
rivalryTournament
Indicates a competitive relationship where entities repeatedly oppose each other in a structured tournament setting, emphasizing ongoing rivalry.
-
B.
otherTournament
Indicates a relationship where one tournament is distinct from and not the same as another tournament.
-
C.
sharedTournament
Indicates that two or more entities participated in the same tournament event.
-
D.
playInTournamentIntroduced
Indicates that an entity participates as a player in a specific tournament that has been newly introduced or added.
-
E.
managedTournament
Indicates that one entity was responsible for organizing, overseeing, or administering a particular tournament.
- 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_69c6883822e0819091e321526f20ae0a |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d95d67448190857f36b8115b03f6 |
completed | March 27, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b7681481909ec50509b19fcf81 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8c48ba48190b8d3aa7b8d22816b |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 2:24 p.m.