Triple
T16470778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 5MT |
E400052
|
entity |
| Predicate | wheelArrangementContext |
P5627
|
FINISHED |
| Object | 4-6-0 steam locomotives |
—
|
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: 4-6-0 steam locomotives | Statement: [5MT, wheelArrangementContext, 4-6-0 steam locomotives]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wheelArrangementContext Context triple: [5MT, wheelArrangementContext, 4-6-0 steam locomotives]
-
A.
wheelArrangementSystem
chosen
Indicates the specific configuration or system by which the wheels of a vehicle or rolling stock are arranged and organized.
-
B.
wheelName
Indicates that an entity has or is associated with a specific name assigned to a wheel.
-
C.
wheelType
Indicates the specific kind or category of wheel associated with an entity.
-
D.
wheelbase
Indicates the distance between the centers of the front and rear wheels of a vehicle.
-
E.
wheelbaseClass
Indicates the classification of a vehicle based on the length or category of its wheelbase.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dd0d2fc81909b68b5afb00f192f |
completed | April 18, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69e22706b0588190a48a951c5211a617 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:11 a.m.