Triple
T11194118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TransPennine Express Nova fleet |
E264876
|
entity |
| Predicate | Nova 1Class |
P97781
|
FINISHED |
| Object | Class 802 |
—
|
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 802 | Statement: [TransPennine Express Nova fleet, Nova 1Class, Class 802]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Nova 1Class Context triple: [TransPennine Express Nova fleet, Nova 1Class, Class 802]
-
A.
naveType
Indicates the architectural or structural type or style of a building’s nave in relation to that nave.
-
B.
firstShip
Indicates that the subject is the earliest or initial ship associated with, created by, or used in relation to the object.
-
C.
يكسو
Indicates covering or clothing something or someone with a layer, garment, or surface.
-
D.
shipClass
Indicates the classification or type category to which a particular ship belongs.
-
E.
Waterline
Indicates the level or line on an object or surface that marks where water reaches or has reached.
- 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.