Triple
T8583803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France vs Croatia (2018 FIFA World Cup Final) |
E203250
|
entity |
| Predicate | FranceWorldCupTitleNumber |
P31745
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [France vs Croatia (2018 FIFA World Cup Final), FranceWorldCupTitleNumber, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FranceWorldCupTitleNumber Context triple: [France vs Croatia (2018 FIFA World Cup Final), FranceWorldCupTitleNumber, 2]
-
A.
worldCupTitle
Indicates that an entity has won a FIFA World Cup championship title.
-
B.
WorldCupOverallTitles
chosen
Indicates the total number of World Cup championship titles an entity has won across all tournaments.
-
C.
FIFAConfederationsCupTitleYear
Indicates the specific year in which an entity won a FIFA Confederations Cup title.
-
D.
worldCupEdition
Indicates the specific edition or instance of the FIFA World Cup tournament associated with a given event, team, or record.
-
E.
FIFAU20WorldCupTitles
Indicates the number of FIFA U-20 World Cup championship titles an entity has won.
- 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbeb1ecc188190bbe2ab8d2423505b |
completed | March 31, 2026, 3:41 p.m. |
| PD | Predicate disambiguation | batch_69cbd11b13108190b07f8f161425a585 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:22 p.m.