Triple
T10085187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BB 7200 |
E215200
|
entity |
| Predicate | axleArrangement |
P77781
|
FINISHED |
| Object | B-B |
—
|
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: B-B | Statement: [BB 7200, axleArrangement, B-B]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: axleArrangement Context triple: [BB 7200, axleArrangement, B-B]
-
A.
locomotiveWheelArrangementStandard
Indicates the standard classification system used to describe the wheel arrangement of a locomotive.
-
B.
axleLoad
Indicates the amount of weight or force that is supported or exerted by a single axle in a vehicle or structure.
-
C.
bogieType
Indicates the specific configuration or classification of a vehicle’s bogie (wheel assembly) used in its design or operation.
-
D.
numberOfAxlesDriven
Indicates the count of axles on a vehicle that are actively powered or driven by the propulsion system.
-
E.
locomotiveConfiguration
chosen
Indicates the specific arrangement and type of power and running units (e.g., wheel or axle layout) that define how a locomotive is configured.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd04609748190987a9364a387fa61 |
completed | April 2, 2026, 2:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4b97870481908f7a89df10d58a9e |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9 p.m.