Triple

T11375668
Position Surface form Disambiguated ID Type / Status
Subject British Rail Class 802 E269459 entity
Predicate operatorBranding P11989 FINISHED
Object TPE Nova 1
TPE Nova 1 is the TransPennine Express-branded fleet of modern bi-mode intercity trains used on long-distance routes across northern England and Scotland.
 E922093 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: TPE Nova 1 | Statement: [British Rail Class 802, operatorBranding, TPE Nova 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TPE Nova 1
Context triple: [British Rail Class 802, operatorBranding, TPE Nova 1]
  • A. TPE
    TPE is the three-letter IOC and international sporting code used to represent Chinese Taipei (Taiwan) in global competitions and events.
  • B. 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.
  • C. 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.
  • D. New Tiba
    New Tiba is a planned satellite city in Egypt developed under the national new towns program to support population redistribution and urban expansion.
  • E. Noovo
    Noovo is a Canadian French-language television network offering a mix of entertainment, reality shows, and local programming.
  • 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: TPE Nova 1
Triple: [British Rail Class 802, operatorBranding, TPE Nova 1]
Generated description
TPE Nova 1 is the TransPennine Express-branded fleet of modern bi-mode intercity trains used on long-distance routes across northern England and Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TPE Nova 1
Target entity description: TPE Nova 1 is the TransPennine Express-branded fleet of modern bi-mode intercity trains used on long-distance routes across northern England and Scotland.
  • A. TPE
    TPE is the three-letter IOC and international sporting code used to represent Chinese Taipei (Taiwan) in global competitions and events.
  • B. 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.
  • C. 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.
  • D. New Tiba
    New Tiba is a planned satellite city in Egypt developed under the national new towns program to support population redistribution and urban expansion.
  • E. Noovo
    Noovo is a Canadian French-language television network offering a mix of entertainment, reality shows, and local programming.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea8e6d44819095f949581421e98e completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5568e3e108190ab843236b417f150 completed April 19, 2026, 10:26 p.m.
NEDg Description generation batch_69e562c7de3c8190befb6d7131129a2c completed April 19, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69e56a776390819082d47ad00cf1862b completed April 19, 2026, 11:51 p.m.
Created at: April 8, 2026, 9:33 p.m.