Triple
T11511906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2015–2016 UEFA Champions League |
E272933
|
entity |
| Predicate | seasonNumberInChampionsLeagueEra |
P80627
|
FINISHED |
| Object | 24 |
—
|
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: 24 | Statement: [2015–2016 UEFA Champions League, seasonNumberInChampionsLeagueEra, 24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonNumberInChampionsLeagueEra Context triple: [2015–2016 UEFA Champions League, seasonNumberInChampionsLeagueEra, 24]
-
A.
seasonNumberAsChampionsLeague
chosen
Indicates the specific season number in which an entity participated in or was associated with the Champions League.
-
B.
UEFAChampionsLeagueTitles
Indicates the number of UEFA Champions League titles an entity (typically a football club) has won.
-
C.
notableChampionsLeagueSeason
Indicates that an entity had a particularly significant or distinguished season in the UEFA Champions League.
-
D.
editionOfEuropeanCupFinal
Indicates that one entity is a specific numbered or particular edition of the European Cup final associated with another entity.
-
E.
leagueChampionshipSeason
Indicates the relationship between a sports league and a specific season in which its championship competition takes place.
- F. None of above.
Provenance (3 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d86db7af688190b68668eb39d382a8 |
completed | April 10, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69d80876e5f0819088cff2e72f773cf6 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.