Triple
T36978932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Jersey and New York Railroad main line |
E914770
|
entity |
| Predicate | operatorAfterAcquisition |
P121366
|
FINISHED |
| Object | Erie Railroad |
E270913
|
NE FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Erie Railroad | Statement: [New Jersey and New York Railroad main line, operatorAfterAcquisition, Erie Railroad]
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 (4 batches)
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. |
| NER | Named-entity recognition | batch_6a01d077dcec8190b05b24b5de313b15 |
completed | May 11, 2026, 12:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a4035fa88a88190bfda29f1cf668ce4 |
completed | June 27, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_6a01cea0e37881909cb6888518c6d12f |
completed | May 11, 2026, 12:42 p.m. |
Created at: May 3, 2026, 4:14 p.m.