Triple

T1999978
Position Surface form Disambiguated ID Type / Status
Subject Reading railway station E43445 entity
Predicate connectsTo P845 FINISHED
Object 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: Gatwick Airport | Statement: [Reading railway station, connectsTo, Gatwick Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gatwick Airport
Context triple: [Reading railway station, connectsTo, 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. Heathrow Airport
    Heathrow Airport is the United Kingdom’s largest and busiest international airport, serving as a major global aviation hub for London.
  • C. 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.
  • D. London International Airport
    London International Airport is a regional airport serving the city of London and surrounding areas in southwestern Ontario, Canada.
  • E. 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.
  • 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_69a88715dbbc8190b2299e29e955d997 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb87f78f0819098e787a5f3e062fd completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3abc8cc819086e7b640d5231641 completed March 9, 2026, 11:48 a.m.
Created at: March 4, 2026, 7:37 p.m.