Triple

T5525057
Position Surface form Disambiguated ID Type / Status
Subject Luton Rising E144902 entity
Predicate ownsConcession P37449 FINISHED
Object London Luton Airport E15779 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: London Luton Airport | Statement: [Luton Rising, ownsConcession, London Luton Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: London Luton Airport
Context triple: [Luton Rising, ownsConcession, London Luton Airport]
  • A. Luton Airport chosen
    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.
  • B. 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.
  • 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. Bristol Airport
    Bristol Airport is a major regional airport in South West England serving domestic and international flights, notably as a key base for low-cost carriers like easyJet.
  • 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: ownsConcession
Context triple: [Luton Rising, ownsConcession, London Luton Airport]
  • A. hasConcessions
    Indicates that one entity provides or contains concession facilities, services, or rights (such as food, drink, or merchandise sales) for another entity or within a given context.
  • B. hasConcessionaire chosen
    Indicates that one entity is designated as the concessionaire (holder of operating or usage rights under a concession) for another entity.
  • C. concessionType
    Indicates the specific kind or category of concession (such as a discount, exemption, or special allowance) that applies in a given context.
  • D. concessionExtended
    Indicates that one party has granted or prolonged a special allowance, discount, or favorable term to another party.
  • E. concessionModel
    Indicates a relationship where one party grants, licenses, or permits another party to use or operate something (such as assets, rights, or services) under agreed concession terms.
  • 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_69c008f873a481909b4d9f7e2db3c37d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f874bd081909cccfc25767ee6fa completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b08225f08190ac27f066573b4f28 completed March 23, 2026, 3:16 a.m.
PD Predicate disambiguation batch_69c01b0a06348190b39ac9fe80d2836a completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:34 p.m.