Triple
T11194115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TransPennine Express Nova fleet |
E264876
|
entity |
| Predicate | marketingName |
P11546
|
FINISHED |
| Object |
Nova 1
Nova 1 is a class of modern intercity trains operated by TransPennine Express in the UK as part of its branded Nova fleet.
|
E51944
|
NE FINISHED |
How this triple was built (4 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: Nova 1 | Statement: [TransPennine Express Nova fleet, marketingName, Nova 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nova 1 Context triple: [TransPennine Express Nova fleet, marketingName, Nova 1]
-
A.
Nova 2
Nova 2 is a spacecraft in the Nova fleet, preceding Nova 3 and serving as an earlier-generation vessel in the same series.
-
B.
Nova (album)
Nova is a jazz album by American drummer and composer Steve Reid, showcasing his innovative, genre-blending approach to rhythm and improvisation.
-
C.
Nova
Nova is a feminine given name of Latin origin meaning "new," often associated with brightness and novelty.
-
D.
Nova
Nova is a Spanish television channel that primarily targets female audiences with a mix of telenovelas, lifestyle programs, and entertainment content.
-
E.
Nova
Nova is the OpenStack project that provides scalable, on-demand compute resources for running virtual machines and other instances in cloud environments.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nova 1 Triple: [TransPennine Express Nova fleet, marketingName, Nova 1]
Generated description
Nova 1 is a class of modern intercity trains operated by TransPennine Express in the UK as part of its branded Nova fleet.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nova 1 Target entity description: Nova 1 is a class of modern intercity trains operated by TransPennine Express in the UK as part of its branded Nova fleet.
-
A.
Nova 2
Nova 2 is a spacecraft in the Nova fleet, preceding Nova 3 and serving as an earlier-generation vessel in the same series.
-
B.
Nova (album)
Nova is a jazz album by American drummer and composer Steve Reid, showcasing his innovative, genre-blending approach to rhythm and improvisation.
-
C.
Nova
Nova is a feminine given name of Latin origin meaning "new," often associated with brightness and novelty.
-
D.
Nova
chosen
Nova is the name given to TransPennine Express’s modern fleet of intercity trains used across its key routes in the North of England and Scotland.
-
E.
Nova
Nova is the OpenStack project that provides scalable, on-demand compute resources for running virtual machines and other instances in cloud environments.
- F. None of above.
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_69e483f8ecf4819086f0bab3ca9ddcb4 |
completed | April 19, 2026, 7:27 a.m. |
| NEDg | Description generation | batch_69e4878971cc8190aaa1fe32b32925a8 |
completed | April 19, 2026, 7:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4890e8ab881909c85593067041994 |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 8, 2026, 9:29 p.m.