Triple

T11194116
Position Surface form Disambiguated ID Type / Status
Subject TransPennine Express Nova fleet E264876 entity
Predicate marketingName P11546 FINISHED
Object Nova 2
Nova 2 is a class of modern TransPennine Express trains used for intercity services in the UK, known for improved comfort, capacity, and efficiency.
E911602 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 2 | Statement: [TransPennine Express Nova fleet, marketingName, Nova 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nova 2
Context triple: [TransPennine Express Nova fleet, marketingName, Nova 2]
  • 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. Noovo
    Noovo is a Canadian French-language television network offering a mix of entertainment, reality shows, and local programming.
  • D. Nova
    Nova is a feminine given name of Latin origin meaning "new," often associated with brightness and novelty.
  • 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 2
Triple: [TransPennine Express Nova fleet, marketingName, Nova 2]
Generated description
Nova 2 is a class of modern TransPennine Express trains used for intercity services in the UK, known for improved comfort, capacity, and efficiency.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nova 2
Target entity description: Nova 2 is a class of modern TransPennine Express trains used for intercity services in the UK, known for improved comfort, capacity, and efficiency.
  • 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. Noovo
    Noovo is a Canadian French-language television network offering a mix of entertainment, reality shows, and local programming.
  • D. Nova
    Nova is a feminine given name of Latin origin meaning "new," often associated with brightness and novelty.
  • 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

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_69e496ff48448190982d4477039a13d8 completed April 19, 2026, 8:49 a.m.
NEDg Description generation batch_69e49c09844881908e0d95ba3f239024 completed April 19, 2026, 9:10 a.m.
NED2 Entity disambiguation (via description) batch_69e49e7f8b108190bb69f532adf25809 completed April 19, 2026, 9:21 a.m.
Created at: April 8, 2026, 9:29 p.m.