Triple
T24896124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Rail Class 150/1 |
E623143
|
entity |
| Predicate | hasEnginePlacement |
P22132
|
FINISHED |
| Object | underfloor diesel engines |
—
|
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: underfloor diesel engines | Statement: [British Rail Class 150/1, hasEnginePlacement, underfloor diesel engines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnginePlacement Context triple: [British Rail Class 150/1, hasEnginePlacement, underfloor diesel engines]
-
A.
enginePlacement
chosen
Indicates the spatial or structural position where an engine is located or mounted relative to another object or system.
-
B.
propulsionPlacement
Indicates the spatial or structural location where a propulsion system is installed or positioned relative to the object it drives.
-
C.
availableEngineDisplacement
Indicates the range or specific values of engine displacement that are offered or applicable for a given entity.
-
D.
hasEngineDisplacementClass
Indicates a relationship where a vehicle or engine is assigned to a category based on the size or volume of its engine displacement.
-
E.
powertrainLocation
Indicates the physical placement or mounting position of a vehicle’s powertrain relative to the rest of the vehicle.
- 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_69e2fac597708190a922bf39a49ec70a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
Created at: April 18, 2026, 5:26 a.m.