Triple
T6002163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lithuania men's national basketball team |
E133621
|
entity |
| Predicate | wonWorldCupMedal |
P44482
|
FINISHED |
| Object | bronze medal at 2010 FIBA World Championship |
—
|
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: bronze medal at 2010 FIBA World Championship | Statement: [Lithuania men's national basketball team, wonWorldCupMedal, bronze medal at 2010 FIBA World Championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonWorldCupMedal Context triple: [Lithuania men's national basketball team, wonWorldCupMedal, bronze medal at 2010 FIBA World Championship]
-
A.
WorldCupMedal
Indicates that an entity has received a medal (e.g., gold, silver, bronze) for its performance in a FIFA World Cup tournament.
-
B.
wonMedalAt
chosen
Indicates that an entity received a medal as a result of participating in a specific event or competition.
-
C.
worldChampionshipsGoldMedal
Indicates that the subject has won a gold medal at a world championship competition.
-
D.
OlympicMedal
Indicates that an entity has been awarded an Olympic medal in a specific event or discipline.
-
E.
worldChampionshipGoldMedals
Indicates the number of gold medals an entity has won at world championship competitions.
- 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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04ee9cb0c8190a3361c36ac3944af |
completed | March 22, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69c049e3316c819087ea635fa7ee8472 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:05 p.m.