Triple

T3918311
Position Surface form Disambiguated ID Type / Status
Subject STN E88897 entity
Predicate partOf P40 FINISHED
Object London airport system E93744 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 airport system | Statement: [STN, partOf, London airport system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London airport system
Context triple: [STN, partOf, London airport system]
  • A. London airport system chosen
    The London airport system is the network of major international and regional airports serving the Greater London area, including hubs such as Heathrow, Gatwick, Stansted, Luton, and London City.
  • B. London International Airport
    London International Airport is a regional airport serving the city of London and surrounding areas in southwestern Ontario, Canada.
  • 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. London City Airport
    London City Airport is a small, centrally located international airport in East London that primarily serves business travelers with short-haul European and domestic flights.
  • E. London Oxford Airport
    London Oxford Airport is a regional airport in Oxfordshire, England, serving general aviation, business, and limited commercial flights for the Oxford area.
  • 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_69aed955229881909e85e73ffab1d343 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed59485c819095c58edd053e3401 completed March 9, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b52864e0488190ab348a52cb9168b9 completed March 14, 2026, 9:20 a.m.
Created at: March 9, 2026, 3:22 p.m.