Triple
T36978932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Jersey and New York Railroad main line |
E914770
|
entity |
| Predicate | operatorAfterAcquisition |
—
|
GENERATED |
| Object | Erie Railroad |
—
|
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: operatorAfterAcquisition Context triple: [New Jersey and New York Railroad main line, operatorAfterAcquisition, Erie Railroad]
-
A.
afterAcquisitionBy
chosen
Indicates that something occurs or holds true following the acquisition of one entity by another.
-
B.
operatorAfterCapture
Indicates that one operator or action is applied immediately after a capture event has occurred.
-
C.
operatorAfterConsolidation
Indicates that one operator entity succeeds or replaces another operator entity after a consolidation event (such as a merger or acquisition).
-
D.
afterAcquisitionName
Indicates that the object entity represents the name used by a company or organization after it has been acquired.
-
E.
operatorAfterClosure
Indicates that one operator entity occurs or is applied after the completion or closure of another operator or process.
- 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_69f76e8d13b4819089af24a47ce092fc |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:14 p.m.