Triple

T10517949
Position Surface form Disambiguated ID Type / Status
Subject SCANDINAVIAN E248082 entity
Predicate usedByAirlineIcaoCode P26821 FINISHED
Object SAS E245449 NE FINISHED

How this triple was built (3 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: SAS | Statement: [SCANDINAVIAN, usedByAirlineIcaoCode, SAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SAS
Context triple: [SCANDINAVIAN, usedByAirlineIcaoCode, SAS]
  • A. SAS
    SAS is the School of Arts and Sciences at the University of Pennsylvania, encompassing the university’s core liberal arts and sciences departments and programs.
  • B. SAS
    SAS is a widely used statistical software suite for advanced analytics, business intelligence, data management, and predictive modeling.
  • C. SAS
    SAS is a high-speed, point-to-point serial interface standard commonly used to connect enterprise storage devices like hard drives and solid-state drives to servers.
  • D. SAS
    SAS is an elite special forces unit of the British Army renowned for its covert operations, counterterrorism expertise, and rigorous selection process.
  • E. SAS chosen
    SAS is a major Scandinavian airline group that provides passenger and cargo air transport services primarily across Europe and to intercontinental destinations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedByAirlineIcaoCode
Context triple: [SCANDINAVIAN, usedByAirlineIcaoCode, SAS]
  • A. associatedAirlineICAOCode chosen
    Indicates the ICAO airline code that is linked to or used by the given entity (such as a flight, route, or service).
  • B. operatingAirlineICAOCode
    Indicates the ICAO airline designator code of the airline that is actually operating the flight or service.
  • C. servesAirline
    Indicates that a transportation facility or location provides service for, or is regularly used by, a specified airline.
  • D. operatingAirlineIATACode
    Indicates the IATA airline code of the carrier that is actually operating the flight or air service.
  • E. aircraftOperator
    Indicates that one entity operates, manages, or is responsible for the use of a particular aircraft.
  • F. None of above.

Provenance (4 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509cd0fb8819087de2f9a93bad6e6 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d933e4ae048190be51a02c571fab8b completed April 10, 2026, 5:31 p.m.
PD Predicate disambiguation batch_69d4fb94fa10819091f585bab4379c6f completed April 7, 2026, 12:41 p.m.
Created at: April 6, 2026, 12:28 p.m.