Triple
T23033845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIBA 3x3 World Tour |
E573540
|
entity |
| Predicate | numberOfTeamsInFinal |
P65054
|
FINISHED |
| Object | 12 |
—
|
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: 12 | Statement: [FIBA 3x3 World Tour, numberOfTeamsInFinal, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTeamsInFinal Context triple: [FIBA 3x3 World Tour, numberOfTeamsInFinal, 12]
-
A.
numberOfFinalTournamentTeams
chosen
Indicates the total count of teams that participate in the final stage of a tournament.
-
B.
numberOfFinalFourTeams
Indicates the count of teams that reached the Final Four stage in a given tournament or competition.
-
C.
numberOfFinalMatches
Indicates the total count of final-stage matches associated with a given entity or event.
-
D.
numberOfTeamsGroupStage
Indicates the total count of teams that participate in the group stage of a competition or tournament.
-
E.
numberOfParticipatingTeamsInQualifying
Indicates the total number of teams that take part in the qualifying stage of a competition or event.
- 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18482e78c8190a89681eec2edb812 |
completed | April 29, 2026, 4:09 a.m. |
| PD | Predicate disambiguation | batch_69ef3ba004a48190885aece88efd1f52 |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 17, 2026, 3:53 p.m.