Triple

T3850558
Position Surface form Disambiguated ID Type / Status
Subject EGKK E85284 entity
Predicate airportName P4100 FINISHED
Object London Gatwick Airport 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: London Gatwick Airport | Statement: [EGKK, airportName, London Gatwick Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London Gatwick Airport
Context triple: [EGKK, airportName, London Gatwick Airport]
  • 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. London International Airport
    London International Airport is a regional airport serving the city of London and surrounding areas in southwestern Ontario, Canada.
  • C. 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.
  • 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. 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.
  • 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_69aed936de1c81908f91bed80f70abb2 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeebcf67788190975105131baabc4b completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5337284608190af9c288033d5ce23 completed March 14, 2026, 10:07 a.m.
Created at: March 9, 2026, 3:19 p.m.