Triple
T1050003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIFA World Cup |
E22672
|
entity |
| Predicate | currentNumberOfTeamsInFinals |
P6986
|
FINISHED |
| Object | 32 |
—
|
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: 32 | Statement: [FIFA World Cup, currentNumberOfTeamsInFinals, 32]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentNumberOfTeamsInFinals Context triple: [FIFA World Cup, currentNumberOfTeamsInFinals, 32]
-
A.
hasNumberOfTeams
chosen
Indicates the quantity of teams associated with or contained by a given entity.
-
B.
finalTeam
Indicates that an entity is the ultimate or concluding team associated with another entity or process.
-
C.
numberOfPlayoffTeams
Indicates the total count of teams that qualify for or participate in the playoffs within a given league or season.
-
D.
nextFinals
Indicates that one event, match, or stage directly follows another as the subsequent or upcoming finals in a sequence.
-
E.
formerNumberOfTeams
Indicates the number of teams that an entity previously had before a change or reorganization.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8b2c6208190b6fdf3e93b1b1d04 |
completed | March 1, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69a4b7309cc481908ed839b0b8d75dbf |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.