Triple
T21831177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Rail Class 90 |
E538996
|
entity |
| Predicate | axleLoadClass |
P20168
|
FINISHED |
| Object | heavy axle load |
—
|
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: heavy axle load | Statement: [British Rail Class 90, axleLoadClass, heavy axle load]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: axleLoadClass Context triple: [British Rail Class 90, axleLoadClass, heavy axle load]
-
A.
axleLoad
Indicates the amount of weight or force that is supported or exerted by a single axle in a vehicle or structure.
-
B.
hasAxleConfiguration
Indicates that an entity is associated with a specific arrangement or configuration of its axles.
-
C.
numberOfAxlesDriven
Indicates the count of axles on a vehicle that are actively powered or driven by the propulsion system.
-
D.
hasAxleCount
Indicates the number of axles that an object (typically a vehicle or rolling stock) possesses.
-
E.
associatedVehicleWeightClass
chosen
Indicates the weight classification category that is linked or assigned to a particular 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f091362d9081909f00ad7a2806d5cb |
completed | April 28, 2026, 10:51 a.m. |
| PD | Predicate disambiguation | batch_69e6be8c14748190bdcc44a14d50bea4 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:55 p.m.