Triple
T11194120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TransPennine Express Nova fleet |
E264876
|
entity |
| Predicate | Nova 3Class |
P97783
|
FINISHED |
| Object | Class 68 and Mark 5A coaches |
—
|
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: Class 68 and Mark 5A coaches | Statement: [TransPennine Express Nova fleet, Nova 3Class, Class 68 and Mark 5A coaches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Nova 3Class Context triple: [TransPennine Express Nova fleet, Nova 3Class, Class 68 and Mark 5A coaches]
-
A.
successorCodename
Indicates that one codename directly follows and replaces another in a sequence or lifecycle.
-
B.
carrierOf
Indicates that one entity serves as the medium, vehicle, or host that contains, transports, or conveys another entity.
-
C.
deviceModel
Indicates the specific model designation associated with a device.
-
D.
يكسو
Indicates covering or clothing something or someone with a layer, garment, or surface.
-
E.
mobileVariant
Indicates that one entity is a mobile-specific version or adaptation of another entity.
- F. None of above. chosen
Provenance (4 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8bf14e481908563b15790af4d20 |
completed | April 9, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69d75cf4461c8190af84060f7db83211 |
completed | April 9, 2026, 8:01 a.m. |
| PDg | Predicate description generation | batch_69d77062271c8190b63da714ab5beff9 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:29 p.m.