Triple
T8025598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Málaga CF |
E186845
|
entity |
| Predicate | bestChampionsLeaguePerformance |
P80647
|
FINISHED |
| Object | quarter-finals |
—
|
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: quarter-finals | Statement: [Málaga CF, bestChampionsLeaguePerformance, quarter-finals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestChampionsLeaguePerformance Context triple: [Málaga CF, bestChampionsLeaguePerformance, quarter-finals]
-
A.
bestWorldCupPerformance
Indicates the highest level of achievement or furthest stage reached by an entity in any FIFA World Cup tournament.
-
B.
wonChampionsLeagueAsPlayer
Indicates that the subject has been part of a team that won the UEFA Champions League in the role of a player.
-
C.
championLeague
Indicates that an entity has won or holds the championship title in a particular league or competitive event.
-
D.
leagueChampionships
Indicates the number of league championship titles an entity has won.
-
E.
UEFAChampionsLeagueTitles
Indicates the number of UEFA Champions League titles an entity (typically a football club) has won.
- 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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ec9983c8190b468c13f5b5beb63 |
completed | March 31, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69cb049253d08190bafcecfde493ab8b |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bcbbc0819094a98e7ffffb7a40 |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:21 p.m.