Triple
T33951385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | women's 100 metres hurdles |
E870449
|
entity |
| Predicate | firstHurdleDistanceFromStart |
—
|
GENERATED |
| Object | 13 metres |
—
|
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: firstHurdleDistanceFromStart Context triple: [women's 100 metres hurdles, firstHurdleDistanceFromStart, 13 metres]
-
A.
numberOfHurdles
Indicates the quantity of hurdles involved in or associated with a particular event, activity, or entity.
-
B.
frontRunnerAtStart
Indicates that an entity is the leading competitor or in first position at the beginning of an event or process.
-
C.
firstLeg
Indicates that one entity represents the initial segment or starting portion of a multi-part journey, sequence, or process involving another entity.
-
D.
leapHeight
Indicates the vertical distance an entity reaches when it jumps or leaps.
-
E.
winningDistance
Indicates the margin or amount by which a competitor or participant wins over others in a contest or event.
- 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_69f3499c2d7481909c953a5010227725 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:49 a.m.