Triple
T33811972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toby the Tram Engine |
E866559
|
entity |
| Predicate | inspirationFromRailway |
P188124
|
FINISHED |
| Object | Great Eastern Railway |
—
|
NE NERFINISHED |
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: Great Eastern Railway | Statement: [Toby the Tram Engine, inspirationFromRailway, Great Eastern Railway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspirationFromRailway Context triple: [Toby the Tram Engine, inspirationFromRailway, Great Eastern Railway]
-
A.
inspiredByRealRailway
chosen
Indicates that something is based on, modeled after, or influenced by an actual real-world railway system or line.
-
B.
railwaySignificance
Indicates the importance or role that a railway or rail-related feature has within a transportation network, region, or context.
-
C.
railwayFocus
Indicates that something is a primary subject, theme, or point of attention specifically in the context of railways or railway-related matters.
-
D.
railwayHeritageFrom
Indicates that something derives its historical or cultural significance from a particular railway or railway-related source.
-
E.
inspiredFictionalRailway
Indicates that a real-world railway served as the creative basis or model for a fictional railway.
- 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_69f349911a8c81908478662194b23d8c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 1, 2026, 1:46 a.m.