Triple
T15448875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germany national basketball team |
E370095
|
entity |
| Predicate | bestWorldCupFinish |
P118832
|
FINISHED |
| Object | 1st place at the 2023 FIBA Basketball World Cup |
—
|
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: 1st place at the 2023 FIBA Basketball World Cup | Statement: [Germany national basketball team, bestWorldCupFinish, 1st place at the 2023 FIBA Basketball World Cup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestWorldCupFinish Context triple: [Germany national basketball team, bestWorldCupFinish, 1st place at the 2023 FIBA Basketball World Cup]
-
A.
bestWorldCupResult
Indicates the most successful performance or highest achievement an entity has attained in any FIFA World Cup tournament.
-
B.
bestWorldCupPerformance
Indicates the highest level of achievement or furthest stage reached by an entity in any FIFA World Cup tournament.
-
C.
bestWorldCupResultYear
Indicates the year in which an entity achieved its best (highest) result in a World Cup tournament.
-
D.
bestClubWorldCupFinish
Indicates the highest finishing position a club has ever achieved in the FIFA Club World Cup.
-
E.
numberOfWorldCupWins
Indicates how many times an entity has won the FIFA World Cup tournament.
- F. None of above. chosen
Provenance (4 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ef9334c81908541e231b43eb012 |
completed | April 16, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69ded28276f481908c2038bb301e57cf |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded57005608190886cd01f640dfedb |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 3:21 a.m.