Triple

T2857060
Position Surface form Disambiguated ID Type / Status
Subject Megabus E63225 entity
Predicate competitor P1375 FINISHED
Object National Express
National Express is a major UK-based coach and bus operator providing long-distance and local passenger transport services domestically and internationally.
 E305024 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: National Express | Statement: [Megabus, competitor, National Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: National Express
Context triple: [Megabus, competitor, National Express]
  • A. Channel Express
    Channel Express was a British airline that operated cargo and passenger services before rebranding and evolving into the low-cost carrier Jet2.com.
  • B. United Express
    United Express is the regional brand for United Airlines, operating shorter-haul feeder flights to connect passengers to United’s mainline network.
  • C. UP Express
    UP Express is a dedicated airport rail link in Toronto that provides fast, frequent train service between Union Station downtown and Toronto Pearson International Airport.
  • D. HK Express
    HK Express is a Hong Kong-based low-cost airline operating regional flights across Asia.
  • E. DHL
    DHL is the Dag Hammarskjöld Library, the United Nations’ main research and information resource center located at its headquarters in New York.
  • 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: National Express
Triple: [Megabus, competitor, National Express]
Generated description
National Express is a major UK-based coach and bus operator providing long-distance and local passenger transport services domestically and internationally.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: National Express
Target entity description: National Express is a major UK-based coach and bus operator providing long-distance and local passenger transport services domestically and internationally.
  • A. Channel Express
    Channel Express was a British airline that operated cargo and passenger services before rebranding and evolving into the low-cost carrier Jet2.com.
  • B. United Express
    United Express is the regional brand for United Airlines, operating shorter-haul feeder flights to connect passengers to United’s mainline network.
  • C. UP Express
    UP Express is a dedicated airport rail link in Toronto that provides fast, frequent train service between Union Station downtown and Toronto Pearson International Airport.
  • D. HK Express
    HK Express is a Hong Kong-based low-cost airline operating regional flights across Asia.
  • E. DHL
    DHL is the Dag Hammarskjöld Library, the United Nations’ main research and information resource center located at its headquarters in New York.
  • 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_69ab4c41e8c08190a9e8f5249cc12610 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf881bbc81908987317b88b405d0 completed March 7, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d91f6448190866f6ee0491041cf completed March 10, 2026, 1:33 p.m.
NEDg Description generation batch_69b01e45f6e481908665e0961c3a3778 completed March 10, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69b0224832108190be252c0245d588d2 completed March 10, 2026, 1:53 p.m.
Created at: March 6, 2026, 10:02 p.m.