Triple

T2874102
Position Surface form Disambiguated ID Type / Status
Subject London Victoria E56834 entity
Predicate servedBy P82 FINISHED
Object Gatwick Express E86229 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: Gatwick Express | Statement: [London Victoria, servedBy, Gatwick Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gatwick Express
Context triple: [London Victoria, servedBy, Gatwick Express]
  • A. Gatwick Express chosen
    Gatwick Express is a non-stop train service in the United Kingdom that connects central London with Gatwick Airport.
  • B. 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.
  • C. Manchester Airport Line
    The Manchester Airport Line is a Metrolink tram route in Greater Manchester that connects central Manchester with Manchester Airport via several suburban stops.
  • D. Greater Anglia
    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. London Overground
    London Overground is a suburban rail network in London that connects outer districts and some central hubs using a mix of newly built and former National Rail lines, integrated into the city’s public transport system.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe0032ddc8190bb4d15ec7e3c63e8 completed March 7, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01db780908190919d859205464b2e completed March 10, 2026, 1:33 p.m.
Created at: March 6, 2026, 10:03 p.m.