Triple

T3293902
Position Surface form Disambiguated ID Type / Status
Subject A4 road E69163 entity
Predicate passesNear P416 FINISHED
Object Heathrow Airport E12863 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: Heathrow Airport | Statement: [A4 road, passesNear, Heathrow Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heathrow Airport
Context triple: [A4 road, passesNear, Heathrow Airport]
  • A. Heathrow Airport chosen
    Heathrow Airport is the United Kingdom’s largest and busiest international airport, serving as a major global aviation hub for London.
  • B. London International Airport
    London International Airport is a regional airport serving the city of London and surrounding areas in southwestern Ontario, Canada.
  • 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. 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. 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb074f35081909dd3c8a09544b5f1 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb6ae0bc8190a64ab7c2a842495b completed March 13, 2026, 7:23 a.m.
Created at: March 8, 2026, 3:10 p.m.