Triple
T18520812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USRA 2-6-6-2 articulated locomotive |
E452576
|
entity |
| Predicate | frontEngineUnit |
P65886
|
FINISHED |
| Object | six driving wheels |
—
|
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: six driving wheels | Statement: [USRA 2-6-6-2 articulated locomotive, frontEngineUnit, six driving wheels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frontEngineUnit Context triple: [USRA 2-6-6-2 articulated locomotive, frontEngineUnit, six driving wheels]
-
A.
frontEnginePosition
chosen
Indicates that the engine of a vehicle is located at the front portion of the vehicle.
-
B.
frontAxleConfiguration
Indicates the specific structural or mechanical arrangement of the vehicle’s front axle.
-
C.
partOfFront
Indicates that one entity constitutes a component or section located at the front portion of another entity.
-
D.
frontMaterial
Indicates that one entity is the material that forms the front surface or front-facing part of another entity.
-
E.
chassis
Indicates that one entity serves as the structural frame or supporting base (chassis) for another entity.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5338db5e4819086503a2176dfe499 |
completed | April 19, 2026, 7:57 p.m. |
| PD | Predicate disambiguation | batch_69e469e0025c81908f16ed4f922674af |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:37 a.m.