Triple

T4406512
Position Surface form Disambiguated ID Type / Status
Subject London airport system E93744 entity
Predicate lowCostCarrierHub P52560 FINISHED
Object Stansted Airport E15363 NE FINISHED

How this triple was built (3 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 Airport | Statement: [London airport system, lowCostCarrierHub, Stansted Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stansted Airport
Context triple: [London airport system, lowCostCarrierHub, Stansted Airport]
  • A. Stansted Airport chosen
    Stansted Airport is a major international airport serving the London area, particularly known as a hub for low-cost and European short-haul flights.
  • B. Luton Airport
    Luton Airport is a major international airport north of London that serves as a key hub for low-cost airlines and short-haul European flights.
  • C. Gatwick Airport
    Gatwick Airport is a major international airport serving the London area and is one of the busiest airports in the United Kingdom.
  • D. Heathrow Airport
    Heathrow Airport is the United Kingdom’s largest and busiest international airport, serving as a major global aviation hub for London.
  • E. Southend Airport
    Southend Airport is a regional international airport in Essex, England, serving the London area with passenger and cargo flights.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lowCostCarrierHub
Context triple: [London airport system, lowCostCarrierHub, Stansted Airport]
  • A. airlineHub
    Indicates that a particular location (typically an airport or city) serves as a central hub or primary operational base for an airline.
  • B. hasLowCostCarrierFocus chosen
    Indicates that the subject is primarily oriented toward or strategically focused on serving low-cost carrier operations.
  • C. lowCostTerminal
    Indicates that the terminal operates or is provided at a relatively low financial cost compared to alternatives.
  • D. operatesAsRegionalCarrierFor
    Indicates that one transportation company functions as a regional carrier on behalf of another, typically providing local or feeder services under the larger company’s brand or network.
  • E. operatesFlightsInRegion
    Indicates that an airline or carrier runs or provides flight services within a specified geographic region.
  • F. None of above.

Provenance (4 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b35489f6948190a4b2c259f64b4abf completed March 13, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69becf8f926481908f6e1cf33fc79a04 completed March 21, 2026, 5:04 p.m.
PD Predicate disambiguation batch_69b34f5b36a881909bf2e970aa523390 completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:28 p.m.