Triple
T31867737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B Division 75-foot car |
E813504
|
entity |
| Predicate | canOperateInTrainsetsUpTo |
P112074
|
FINISHED |
| Object | 10 cars (typical B Division train length) |
—
|
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: 10 cars (typical B Division train length) | Statement: [B Division 75-foot car, canOperateInTrainsetsUpTo, 10 cars (typical B Division train length)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canOperateInTrainsetsUpTo Context triple: [B Division 75-foot car, canOperateInTrainsetsUpTo, 10 cars (typical B Division train length)]
-
A.
canOperateInConsist
chosen
Indicates that one entity (such as a vehicle or component) is capable of functioning properly when included within a specific consist or configured group of units.
-
B.
maintainsTrainsFor
Indicates that one entity is responsible for servicing, repairing, or otherwise keeping trains operational for another entity.
-
C.
hasAutomaticTrainControlCompatibility
Indicates that an entity is compatible with, or supports integration with, an automatic train control (ATC) system.
-
D.
isTerminalForSomeTrains
Indicates that a station or stop serves as the final destination (terminus) for at least one train route.
-
E.
appliesToRailwayNetwork
Indicates that something is relevant or specifically applicable to a railway network as a whole.
- 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_69f348ecb07481909c8f72619131b115 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b21e7e088190832a3db585daea1c |
completed | May 3, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 30, 2026, 11:54 p.m.