Triple

T90506
Position Surface form Disambiguated ID Type / Status
Subject London E1817 entity
Predicate hasAirport P105 FINISHED
Object Southend Airport
Southend Airport is a regional international airport in Essex, England, serving the London area with passenger and cargo flights.
E16896 NE FINISHED

How this triple was built (4 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: Southend Airport | Statement: [London, hasAirport, Southend Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southend Airport
Context triple: [London, hasAirport, Southend Airport]
  • A. 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.
  • B. 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.
  • C. Manchester Airport
    Manchester Airport is a major international airport in North West England serving the Greater Manchester region and acting as a key hub for domestic and global 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. Heathrow Airport
    Heathrow Airport is the United Kingdom’s largest and busiest international airport, serving as a major global aviation hub for London.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Southend Airport
Triple: [London, hasAirport, Southend Airport]
Generated description
Southend Airport is a regional international airport in Essex, England, serving the London area with passenger and cargo flights.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Southend Airport
Target entity description: Southend Airport is a regional international airport in Essex, England, serving the London area with passenger and cargo flights.
  • A. 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.
  • B. 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.
  • C. Manchester Airport
    Manchester Airport is a major international airport in North West England serving the Greater Manchester region and acting as a key hub for domestic and global 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. Heathrow Airport
    Heathrow Airport is the United Kingdom’s largest and busiest international airport, serving as a major global aviation hub for London.
  • F. None of above. chosen

Provenance (5 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_69a24d1a97dc819094e6c021fe9b05a7 completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a24f6c29888190890caa7872d63ac6 completed Feb. 28, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2b85cc6b881909e2c13e70b24d934 completed Feb. 28, 2026, 9:41 a.m.
NEDg Description generation batch_69a2bb0254fc8190b75544e32e81d694 completed Feb. 28, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_69a2bebed99481908eccf03360d90588 completed Feb. 28, 2026, 10:09 a.m.
Created at: Feb. 28, 2026, 2:07 a.m.