Triple

T46277
Position Surface form Disambiguated ID Type / Status
Subject Manchester Airport E906 entity
Predicate isBaseFor P2421 FINISHED
Object Jet2.com
Jet2.com is a British low-cost leisure airline that operates scheduled and charter flights across Europe from multiple UK bases.
E8498 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: Jet2.com | Statement: [Manchester Airport, isBaseFor, Jet2.com]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jet2.com
Context triple: [Manchester Airport, isBaseFor, Jet2.com]
  • A. easyJet
    easyJet is a major British low-cost airline operating extensive domestic and European routes.
  • B. Ryanair
    Ryanair is a major Irish low-cost airline known for its extensive network of short-haul flights across Europe.
  • C. JetBlue Airways
    JetBlue Airways is a major American low-cost airline known for its customer-friendly service, free in-flight entertainment, and extensive route network across the United States, Caribbean, and Latin America.
  • D. Expedia Group
    Expedia Group is a leading American online travel and technology company that operates numerous global travel fare aggregators and travel metasearch engines.
  • E. Southwest Airlines
    Southwest Airlines is a major U.S. low-cost carrier known for its extensive domestic route network, no-frills service model, and distinctive open-seating boarding process.
  • 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: Jet2.com
Triple: [Manchester Airport, isBaseFor, Jet2.com]
Generated description
Jet2.com is a British low-cost leisure airline that operates scheduled and charter flights across Europe from multiple UK bases.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jet2.com
Target entity description: Jet2.com is a British low-cost leisure airline that operates scheduled and charter flights across Europe from multiple UK bases.
  • A. easyJet
    easyJet is a major British low-cost airline operating extensive domestic and European routes.
  • B. Ryanair
    Ryanair is a major Irish low-cost airline known for its extensive network of short-haul flights across Europe.
  • C. JetBlue Airways
    JetBlue Airways is a major American low-cost airline known for its customer-friendly service, free in-flight entertainment, and extensive route network across the United States, Caribbean, and Latin America.
  • D. Expedia Group
    Expedia Group is a leading American online travel and technology company that operates numerous global travel fare aggregators and travel metasearch engines.
  • E. Southwest Airlines
    Southwest Airlines is a major U.S. low-cost carrier known for its extensive domestic route network, no-frills service model, and distinctive open-seating boarding process.
  • 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_69a2480baefc81909951b14058479aa2 completed Feb. 28, 2026, 1:42 a.m.
NER Named-entity recognition batch_69a24ec333fc8190b66776b947e0bdbd completed Feb. 28, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2623cc3648190b2d86352406125e9 completed Feb. 28, 2026, 3:34 a.m.
NEDg Description generation batch_69a262ef9e44819094790f68d3862c5a completed Feb. 28, 2026, 3:37 a.m.
NED2 Entity disambiguation (via description) batch_69a2634b24d08190b4869d235516c2ab completed Feb. 28, 2026, 3:38 a.m.
Created at: Feb. 28, 2026, 1:47 a.m.