Triple
T37121576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roskilde Festival |
E919269
|
entity |
| Predicate | numberOfFatalitiesIn2000Accident |
—
|
GENERATED |
| Object | 9 |
—
|
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: numberOfFatalitiesIn2000Accident Context triple: [Roskilde Festival, numberOfFatalitiesIn2000Accident, 9]
-
A.
numberOfFatalAccidents
Indicates the total count of accidents within a given context that resulted in at least one fatality.
-
B.
numberOfFatalitiesInvestigatedAccident
Indicates the count of deaths that were examined as part of the investigation into a specific accident.
-
C.
additionalDeathsRelatedToAccident
Indicates that there were extra fatalities occurring as a consequence of the accident beyond any initially recorded or primary deaths.
-
D.
numberOfBombsInAccident
Indicates the quantity of bombs involved in a specific accident.
-
E.
numberOfUSFatalities
Indicates the number of people who died in the United States as a result of the specified event or circumstance.
- F. None of above. chosen
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_69f76e9c57148190ba789dd059645bb9 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:15 p.m.