Triple
T7983036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Gamper |
E185618
|
entity |
| Predicate | JoanGamperTrophyType |
P8179
|
FINISHED |
| Object | pre-season football tournament |
—
|
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: pre-season football tournament | Statement: [Joan Gamper, JoanGamperTrophyType, pre-season football tournament]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JoanGamperTrophyType Context triple: [Joan Gamper, JoanGamperTrophyType, pre-season football tournament]
-
A.
UEFASuperCupTitle
Indicates that an entity has won the UEFA Super Cup title in a given year or season.
-
B.
conferenceChampionTrophy
Indicates that an entity has won and been awarded the championship trophy for a specific conference.
-
C.
playoffTrophyContested
Indicates that a particular playoff trophy is the object of competition in a given playoff series or tournament.
-
D.
UEFASuperCupTitles
Indicates the number of UEFA Super Cup titles an entity has won.
-
E.
leagueCup
chosen
Indicates that an entity is a cup-style competition organized within or by a specific league.
- 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_69ca829a2cfc819083d591d58ec04075 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c2a1aa881909c3cea280dff38f5 |
completed | March 31, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69cb048009a08190b4c577208a9f8f76 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:15 p.m.