Triple
T20088753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nickel Plate Road 2-8-4 Berkshires |
E496208
|
entity |
| Predicate | roleInRailroadImage |
P53847
|
FINISHED |
| Object | symbol of Nickel Plate Road fast freight service |
—
|
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: symbol of Nickel Plate Road fast freight service | Statement: [Nickel Plate Road 2-8-4 Berkshires, roleInRailroadImage, symbol of Nickel Plate Road fast freight service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInRailroadImage Context triple: [Nickel Plate Road 2-8-4 Berkshires, roleInRailroadImage, symbol of Nickel Plate Road fast freight service]
-
A.
railwayCharacter
Indicates a relationship where an entity is characterized or defined as a railway-related figure, role, or persona.
-
B.
railwayTrafficRole
Indicates the specific function or responsibility an entity has within the operation, management, or control of railway traffic.
-
C.
roleInBulletTrain
Indicates the specific function, position, or responsibility an entity has within the context of a bullet train system or operation.
-
D.
roleInTrain
Indicates the specific function or position an entity holds within the context of a train (e.g., passenger, conductor, locomotive, or car type).
-
E.
portraysTrainAs
chosen
Indicates that one entity represents or depicts a train in a particular way or role.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6655d65a88190a510132f36341b6c |
completed | April 20, 2026, 5:41 p.m. |
| PD | Predicate disambiguation | batch_69e54cf369b88190931532420517dac7 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:17 p.m.