Triple

T14229469
Position Surface form Disambiguated ID Type / Status
Subject topbonus E352712 entity
Predicate partnerAirline P36374 FINISHED
Object Belair E1088053 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: Belair | Statement: [topbonus, partnerAirline, Belair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belair
Context triple: [topbonus, partnerAirline, Belair]
  • A. Belair
    Belair is a primarily residential district of Luxembourg City known for its quiet streets, schools, and proximity to the city center.
  • B. Belair chosen
    Belair was a German leisure airline that operated charter and scheduled flights, primarily serving holiday destinations across Europe and North Africa.
  • C. Meadowbank
    Meadowbank is a district in the east of Edinburgh, Scotland, known for its residential character and proximity to major sports and recreational facilities.
  • D. Meadowbank
    Meadowbank is a riverside suburb in Sydney, Australia, known for its residential developments, transport links, and parks along the Parramatta River.
  • E. Cheviot Hills
    Cheviot Hills is an affluent, primarily residential neighborhood on Los Angeles’s Westside known for its quiet streets, golf courses, and proximity to major film and television studios.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de622b89fc8190af08dab9e1976759 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3251ec5881909fcebc9477d6a761 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:07 a.m.