Triple
T5264253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Railroad of New Jersey |
E118900
|
entity |
| Predicate | hasOperations |
P1137
|
FINISHED |
| Object | local freight service in South Jersey |
—
|
LITERAL 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: local freight service in South Jersey | Statement: [Southern Railroad of New Jersey, hasOperations, local freight service in South Jersey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOperations Context triple: [Southern Railroad of New Jersey, hasOperations, local freight service in South Jersey]
-
A.
hasGlobalOperationsIn
Indicates that an entity conducts business or operational activities across multiple countries within the specified region or location.
-
B.
hasGlobalOperations
Indicates that an entity conducts its activities or services across multiple countries or worldwide.
-
C.
hasOperationType
chosen
Indicates the specific kind or category of operation associated with an entity or process.
-
D.
hasBusinessOperation
Indicates that one entity conducts, manages, or is engaged in a commercial or organizational activity involving another entity.
-
E.
supportsOperationsIn
Indicates that one entity enables, facilitates, or backs the execution of operations within a specified context, area, or domain of another entity.
- F. None of above.
Provenance (3 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bd4a9888190a79ef8e64c764f86 |
completed | March 20, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69bd77c55224819096c0bcfcfae79bd3 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:51 p.m.