Triple
T23196026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Rail second-generation DMUs |
E579870
|
entity |
| Predicate | propulsion system |
P116813
|
FINISHED |
| Object | diesel |
—
|
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: diesel | Statement: [British Rail second-generation DMUs, propulsion system, diesel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: propulsion system Context triple: [British Rail second-generation DMUs, propulsion system, diesel]
-
A.
propulsion
Indicates a relationship where one entity provides the driving force or thrust that moves another entity forward or keeps it in motion.
-
B.
propulsionModule
Indicates a relationship where an entity functions as, or is equipped with, a module responsible for providing propulsion.
-
C.
propulsionFeature
Indicates a relationship where a propulsion-related characteristic or capability is attributed to an entity.
-
D.
currentPropulsionSystem
chosen
Indicates the propulsion system that an entity is presently using or equipped with.
-
E.
propulsionCycle
Indicates the type or pattern of propulsion operation or cycle that characterizes how a system generates and sustains thrust or movement.
- 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fdb279c81908dcc46f2786a86cd |
completed | April 29, 2026, 4:58 a.m. |
| PD | Predicate disambiguation | batch_69ef8a041c0081909afb670d17a5aaba |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:06 p.m.