Triple

T4103649
Position Surface form Disambiguated ID Type / Status
Subject Runway 08R/26L E88397 entity
Predicate locatedIn P40 FINISHED
Object Gatwick E13320 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 | Statement: [Runway 08R/26L, locatedIn, Gatwick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gatwick
Context triple: [Runway 08R/26L, locatedIn, Gatwick]
  • A. Gatwick Airport chosen
    Gatwick Airport is a major international airport serving the London area and is one of the busiest airports in the United Kingdom.
  • B. Southampton Airport
    Southampton Airport is a regional international airport in Hampshire, England, serving the city of Southampton and the wider South East England area with domestic and European flights.
  • C. Heathrow Airport
    Heathrow Airport is the United Kingdom’s largest and busiest international airport, serving as a major global aviation hub for London.
  • 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. 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.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd116dac8190952cb2ddf63216ec completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b63725b9348190af56a6b7477de03f completed March 15, 2026, 4:35 a.m.
Created at: March 9, 2026, 3:40 p.m.