Triple

T46280
Position Surface form Disambiguated ID Type / Status
Subject Manchester Airport E906 entity
Predicate isBaseFor P2421 FINISHED
Object Loganair
Loganair is a Scottish regional airline that operates domestic and short-haul international flights across the United Kingdom and nearby destinations.
 E17455 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: Loganair | Statement: [Manchester Airport, isBaseFor, Loganair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Loganair
Context triple: [Manchester Airport, isBaseFor, Loganair]
  • A. Ryanair
    Ryanair is a major Irish low-cost airline known for its extensive network of short-haul flights across Europe.
  • B. Endeavor Air
    Endeavor Air is a U.S.-based regional airline that operates Delta Connection flights, providing feeder services to Delta Air Lines’ domestic and short-haul international network.
  • C. TUI Airways
    TUI Airways is a British charter and scheduled airline that primarily serves leisure destinations across Europe and worldwide as part of the TUI Group.
  • D. Southern Airways Express
    Southern Airways Express is a U.S. regional airline operating commuter and short-haul flights across various domestic markets.
  • E. Virgin Atlantic
    Virgin Atlantic is a British long-haul airline known for its transatlantic flights, distinctive branding, and innovative in-flight services.
  • 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: Loganair
Triple: [Manchester Airport, isBaseFor, Loganair]
Generated description
Loganair is a Scottish regional airline that operates domestic and short-haul international flights across the United Kingdom and nearby destinations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Loganair
Target entity description: Loganair is a Scottish regional airline that operates domestic and short-haul international flights across the United Kingdom and nearby destinations.
  • A. Ryanair
    Ryanair is a major Irish low-cost airline known for its extensive network of short-haul flights across Europe.
  • B. Endeavor Air
    Endeavor Air is a U.S.-based regional airline that operates Delta Connection flights, providing feeder services to Delta Air Lines’ domestic and short-haul international network.
  • C. TUI Airways
    TUI Airways is a British charter and scheduled airline that primarily serves leisure destinations across Europe and worldwide as part of the TUI Group.
  • D. Southern Airways Express
    Southern Airways Express is a U.S. regional airline operating commuter and short-haul flights across various domestic markets.
  • E. Virgin Atlantic
    Virgin Atlantic is a British long-haul airline known for its transatlantic flights, distinctive branding, and innovative in-flight services.
  • 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_69a2c271231c81909b92809bba7b52b2 completed Feb. 28, 2026, 10:24 a.m.
NEDg Description generation batch_69a2c31404cc8190affc40340df43df2 completed Feb. 28, 2026, 10:27 a.m.
NED2 Entity disambiguation (via description) batch_69a2c3728e648190af447c0f54f1bd5f completed Feb. 28, 2026, 10:29 a.m.
Created at: Feb. 28, 2026, 1:47 a.m.