Triple
T3240402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soviet Union women’s national basketball team |
E67951
|
entity |
| Predicate | wonEuroBasketWomenGold |
P13985
|
FINISHED |
| Object | 1950 EuroBasket Women |
—
|
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: 1950 EuroBasket Women | Statement: [Soviet Union women’s national basketball team, wonEuroBasketWomenGold, 1950 EuroBasket Women]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonEuroBasketWomenGold Context triple: [Soviet Union women’s national basketball team, wonEuroBasketWomenGold, 1950 EuroBasket Women]
-
A.
FIBAWorldChampionshipGoldMedal
Indicates that an entity has won a gold medal at the FIBA Basketball World Championship.
-
B.
wonWNBAChampionship
Indicates that an entity has achieved victory in the WNBA Finals and secured a WNBA championship title.
-
C.
wonEuropeanChampionship
chosen
Indicates that an entity achieved first place or overall victory in a European Championship competition.
-
D.
wonEuropeanTrophy
Indicates that the subject has achieved victory in a European-level competition or trophy.
-
E.
WNBAFinalsMVP
Indicates that the subject was selected as the Most Valuable Player of the WNBA Finals series.
- 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaef6430081909084589f6eea5c7e |
completed | March 8, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69ada4159e0481908cbbdd750f5e08c7 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:08 p.m.