Triple
T38657315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fosbury Flop |
E939925
|
entity |
| Predicate | countryOfFirstGoldMedalist |
—
|
GENERATED |
| Object | United States |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfFirstGoldMedalist Context triple: [Fosbury Flop, countryOfFirstGoldMedalist, United States]
-
A.
wonOlympicGoldForCountry
Indicates that an athlete secured an Olympic gold medal while officially representing a particular country.
-
B.
goldMedalistNationality
Indicates the nationality of the athlete who won the gold medal in a given event or competition.
-
C.
teamNumberOfOlympicGoldMedals
Indicates the number of Olympic gold medals that a given team has won.
-
D.
countryOfFirstChampion
chosen
Indicates the country from which the very first champion (winner) of a given competition or title originated.
-
E.
countryWithMultipleMedals
Indicates that a country has earned more than one medal in a given competition or event.
- F. None of above.
Provenance (1 batch)
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_69f76ede49648190a48bfe47032a05a3 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:33 p.m.