Triple
T183597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States men's national basketball team |
E3930
|
entity |
| Predicate | fibaWorldCupTitles |
P6619
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [United States men's national basketball team, fibaWorldCupTitles, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fibaWorldCupTitles Context triple: [United States men's national basketball team, fibaWorldCupTitles, 5]
-
A.
NBAFinalsAppearances
Indicates the number of times an entity has participated in the NBA Finals series.
-
B.
worldChampionshipGoldMedals
Indicates the number of gold medals an entity has won at world championship competitions.
-
C.
worldSeriesTitles
Indicates the number of World Series championship titles an entity (typically a baseball team) has won.
-
D.
championshipDroughtLengthYears
Indicates the number of years that have elapsed since an entity last won a championship.
-
E.
NBAChampionshipTeam
Indicates that a team has won the NBA championship title for a given season.
- 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_69a25497e2f08190a040f8c6e1842643 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a25926be9c8190a4cfce66f57589d1 |
completed | Feb. 28, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69a2566dfc388190988b1b42d5daaafe |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a257e763d081908c54ad57d8d3060d |
completed | Feb. 28, 2026, 2:50 a.m. |
Created at: Feb. 28, 2026, 2:40 a.m.