Triple

T3918344
Position Surface form Disambiguated ID Type / Status
Subject EGSS E88898 entity
Predicate identifies P310 FINISHED
Object London Stansted Airport E15363 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 Stansted Airport | Statement: [EGSS, identifies, London Stansted Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London Stansted Airport
Context triple: [EGSS, identifies, London Stansted Airport]
  • A. Stansted Airport chosen
    Stansted Airport is a major international airport serving the London area, particularly known as a hub for low-cost and European short-haul flights.
  • B. Luton Airport
    Luton Airport is a major international airport north of London that serves as a key hub for low-cost airlines and short-haul European flights.
  • C. Cambridge Airport
    Cambridge Airport is a regional airport serving the city of Cambridge in Cambridgeshire, England, handling general aviation, business, and some commercial flights.
  • D. Gatwick Airport
    Gatwick Airport is a major international airport serving the London area and is one of the busiest airports in the United Kingdom.
  • 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_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_69b595f59e908190a45b3b9c767974fb completed March 14, 2026, 5:08 p.m.
Created at: March 9, 2026, 3:22 p.m.