Triple
T6950753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australia women’s national basketball team |
E160913
|
entity |
| Predicate | OlympicBestResult |
P33011
|
FINISHED |
| Object | silver medal |
—
|
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: silver medal | Statement: [Australia women’s national basketball team, OlympicBestResult, silver medal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: OlympicBestResult Context triple: [Australia women’s national basketball team, OlympicBestResult, silver medal]
-
A.
olympicBestResult
chosen
Indicates the best performance or highest achievement an entity has attained in Olympic competition.
-
B.
bestOlympicGamesResultYear
Indicates the year in which an entity achieved its best result at the Olympic Games.
-
C.
numberOfOlympicRecords
Indicates the count of Olympic records associated with a given entity.
-
D.
olympicGoldMedalInEvent
Indicates that an entity has won an Olympic gold medal in a specified sporting event.
-
E.
OlympicGoldMedalistFor
Indicates that an entity has won a gold medal at the Olympic Games while representing a specified country, team, or organization.
- 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_69c68850419081909fb426b8f5a304c7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dacca12481908942ba793a104cc3 |
completed | March 27, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bf0a7c8190b5ed4aca22ba9b97 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:29 p.m.