Triple

T747002
Position Surface form Disambiguated ID Type / Status
Subject London Stansted Airport E15363 entity
Predicate connectedBy P37 FINISHED
Object Stansted Express E30534 NE 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: Stansted Express | Statement: [London Stansted Airport, connectedBy, Stansted Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stansted Express
Context triple: [London Stansted Airport, connectedBy, Stansted Express]
  • A. Heathrow Express
    Heathrow Express is a non-stop high-speed train service linking London Paddington station with Heathrow Airport, providing one of the fastest rail connections between central London and the airport.
  • B. Gatwick Express
    Gatwick Express is a non-stop train service in the United Kingdom that connects central London with Gatwick Airport.
  • C. Stansted Airport
    Stansted Airport is a major international airport serving the London area, particularly known as a hub for low-cost and European short-haul flights.
  • D. Greater Anglia chosen
    Greater Anglia is a British train operating company that provides passenger rail services across East Anglia and parts of London and the East of England.
  • E. Capital Airport Express
    Capital Airport Express is a dedicated rapid transit line in the Beijing Subway system that connects central Beijing with Beijing Capital International Airport.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a49358aa308190adbc9b5a0a2adcf9 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a62dd1bc819094a3814654448ae3 completed March 1, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69a673345f18819084e2caf380e46b30 completed March 3, 2026, 5:35 a.m.
Created at: March 1, 2026, 7:37 p.m.