Triple
T20225134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sport Club Internacional |
E495356
|
entity |
| Predicate | wonFIFAClubWorldCup |
P104720
|
FINISHED |
| Object | 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: 2006 | Statement: [Sport Club Internacional, wonFIFAClubWorldCup, 2006]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonFIFAClubWorldCup Context triple: [Sport Club Internacional, wonFIFAClubWorldCup, 2006]
-
A.
FIFAClubWorldTitles
chosen
Indicates the number of FIFA Club World Cup titles a club has won.
-
B.
FIFAConfederationsCupTitleYear
Indicates the specific year in which an entity won a FIFA Confederations Cup title.
-
C.
wonFAcup
Indicates that the subject has won the FA Cup football competition.
-
D.
wonChampionsLeagueWith
Indicates that an entity achieved victory in the UEFA Champions League while being a member of or associated with a specified team or organization.
-
E.
wonLeagueCup
Indicates that a team or competitor achieved victory in a specific league cup 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fd8f1948190adbb947a7870bb43 |
completed | April 20, 2026, 6:26 p.m. |
| PD | Predicate disambiguation | batch_69e55b18609481909ab28bc8750a642f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:39 p.m.