Triple

T9302312
Position Surface form Disambiguated ID Type / Status
Subject Airspeed Ambassador E223794 entity
Predicate usedBy P260 FINISHED
Object Dan‑Air
Dan-Air was a British independent airline that operated charter and scheduled services from the 1950s until its acquisition by British Airways in 1992.
E790009 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: Dan‑Air | Statement: [Airspeed Ambassador, usedBy, Dan‑Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan‑Air
Context triple: [Airspeed Ambassador, usedBy, Dan‑Air]
  • A. Flynas
    Flynas is a Saudi low-cost airline based in Riyadh that operates domestic and regional flights across the Middle East and beyond.
  • B. Crossair
    Crossair was a former Swiss regional airline that served as the main predecessor to Swiss International Air Lines after the collapse of Swissair.
  • C. Thomson Airways
    Thomson Airways was a major UK-based charter and scheduled leisure airline that operated holiday flights to destinations worldwide before rebranding as TUI Airways.
  • D. Flybe
    Flybe was a British regional airline that operated short-haul flights across the UK and Europe before ceasing operations.
  • E. Loganair
    Loganair is a Scottish regional airline that operates domestic and short-haul international flights across the United Kingdom and nearby destinations.
  • 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: Dan‑Air
Triple: [Airspeed Ambassador, usedBy, Dan‑Air]
Generated description
Dan-Air was a British independent airline that operated charter and scheduled services from the 1950s until its acquisition by British Airways in 1992.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dan‑Air
Target entity description: Dan-Air was a British independent airline that operated charter and scheduled services from the 1950s until its acquisition by British Airways in 1992.
  • A. Flynas
    Flynas is a Saudi low-cost airline based in Riyadh that operates domestic and regional flights across the Middle East and beyond.
  • B. Crossair
    Crossair was a former Swiss regional airline that served as the main predecessor to Swiss International Air Lines after the collapse of Swissair.
  • C. Thomson Airways
    Thomson Airways was a major UK-based charter and scheduled leisure airline that operated holiday flights to destinations worldwide before rebranding as TUI Airways.
  • D. Flybe
    Flybe was a British regional airline that operated short-haul flights across the UK and Europe before ceasing operations.
  • E. Loganair
    Loganair is a Scottish regional airline that operates domestic and short-haul international flights across the United Kingdom and nearby destinations.
  • 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_69ca8424d0f08190831e2e93c6533aeb completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd08d34c4c819095a213360747c3a6 completed April 1, 2026, noon
NED1 Entity disambiguation (via context triple) batch_69d0b26ae3c881909e88f0253e73f0ea completed April 4, 2026, 6:40 a.m.
NEDg Description generation batch_69d0b3ba0bd88190873816ec7e7929a7 completed April 4, 2026, 6:46 a.m.
NED2 Entity disambiguation (via description) batch_69d0b49ec4c88190a48909e7022d7e60 completed April 4, 2026, 6:50 a.m.
Created at: March 30, 2026, 7:36 p.m.