Triple
T10896399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Rail Class 40 |
E257319
|
entity |
| Predicate | trainBrakes |
P4166
|
FINISHED |
| Object | vacuum only as built |
—
|
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: vacuum only as built | Statement: [British Rail Class 40, trainBrakes, vacuum only as built]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainBrakes Context triple: [British Rail Class 40, trainBrakes, vacuum only as built]
-
A.
brakeType
chosen
Indicates the specific kind or system of brakes associated with an entity.
-
B.
trainProtection
Indicates that one entity provides safety measures or defensive mechanisms for a train during its operation.
-
C.
trains
Indicates that one entity teaches, instructs, or coaches another entity to develop skills, knowledge, or abilities.
-
D.
trainOperation
Indicates that an entity is engaged in operating, running, or managing the movement and service of a train.
-
E.
speedAtDerailmentApprox
Indicates the approximate speed an entity was traveling at the moment it derailed.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75d022f4c81909cd9ea27a9f0cd32 |
completed | April 9, 2026, 8:02 a.m. |
| PD | Predicate disambiguation | batch_69d70d3943c881908895397eccc3e415 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:21 p.m.