Triple
T5401924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sevilla FC |
E120796
|
entity |
| Predicate | wonUEFAEuropaLeague |
P54434
|
FINISHED |
| Object | 2005-2006 |
—
|
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: 2005-2006 | Statement: [Sevilla FC, wonUEFAEuropaLeague, 2005-2006]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonUEFAEuropaLeague Context triple: [Sevilla FC, wonUEFAEuropaLeague, 2005-2006]
-
A.
wonUEFA Cup
chosen
Indicates that one entity achieved victory in the UEFA Cup competition over another entity or in a specified context.
-
B.
wonUEFAEuropaConferenceLeagueYear
Indicates that the subject won the UEFA Europa Conference League in the specified year.
-
C.
wonEuropeanChampionship
Indicates that an entity achieved first place or overall victory in a European Championship competition.
-
D.
EuropeanCompetitionWin
Indicates that an entity has won a European-level competition or tournament.
-
E.
EuropeanCompetition
Indicates a relationship where an entity participates in, qualifies for, or is associated with a European-level competition or tournament.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8932b8bc8190bd31e11b167a7212 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd84660ea08190a641084814fcf94d |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:04 p.m.