Triple
T34997429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JJB Sports |
E1009576
|
entity |
| Predicate | numberOfJobsLostAtCollapse |
—
|
GENERATED |
| Object | over 2,000 |
—
|
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: numberOfJobsLostAtCollapse Context triple: [JJB Sports, numberOfJobsLostAtCollapse, over 2,000]
-
A.
numberOfBusinessesDestroyed
Indicates the quantity of businesses that have been destroyed in a given event or context.
-
B.
numberOfWorkersFired
chosen
Indicates the quantity of workers who were dismissed or terminated from their jobs.
-
C.
consequenceOfCollapse
Indicates that one event, state, or condition occurs as a direct result of a collapse.
-
D.
lastMajorCollapse
Indicates the most recent significant breakdown or failure event that occurred in relation to the subject.
-
E.
towerCollapsedIn
Indicates that a tower underwent structural failure and collapsed at or within a specified location or context.
- 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_69f76dca50dc8190b71f39defe186be8 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:01 p.m.