Triple
T22367874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russia national beach soccer team |
E552955
|
entity |
| Predicate | worldCupTitleCount |
P31745
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Russia national beach soccer team, worldCupTitleCount, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldCupTitleCount Context triple: [Russia national beach soccer team, worldCupTitleCount, 3]
-
A.
WorldCupOverallTitles
chosen
Indicates the total number of World Cup championship titles an entity has won across all tournaments.
-
B.
worldCupTitle
Indicates that an entity has won a FIFA World Cup championship title.
-
C.
worldCupSeasonTitles
Indicates the number or list of World Cup season titles associated with an entity (such as a team, player, or nation).
-
D.
worldCupTitleYear
Indicates the specific year in which an entity won or held a FIFA World Cup title.
-
E.
WorldCupSeasonTitles
Indicates the number of World Cup titles an entity has won in a given season or across seasons.
- 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158017400819094ebf7f91c26a724 |
completed | April 29, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69e73011e6388190a05edf137f488441 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:44 p.m.