Triple

T2437085
Position Surface form Disambiguated ID Type / Status
Subject Brussels Airlines E52985 entity
Predicate IATACode P418 FINISHED
Object SN
SN is the IATA airline designator used to identify Brussels Airlines in global aviation systems.
 E265979 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: SN | Statement: [Brussels Airlines, IATACode, SN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SN
Context triple: [Brussels Airlines, IATACode, SN]
  • A. SN
    SN is the commonly used abbreviated form of the Ukrainian political party and former television series "Servant of the People."
  • B. NS
    NS is the standard abbreviation for Norfolk Southern Railway, a major Class I freight railroad operating primarily in the eastern United States.
  • C. NS
    NS (Nederlandse Spoorwegen) is the principal Dutch railway company responsible for most passenger train services in the Netherlands.
  • D. N
    The N is a New York City Subway service that runs along the Broadway Line in Manhattan and connects Queens, Manhattan, and Brooklyn.
  • E. BN
    BN is the vehicle registration code used on license plates for the German city of Bonn.
  • 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: SN
Triple: [Brussels Airlines, IATACode, SN]
Generated description
SN is the IATA airline designator used to identify Brussels Airlines in global aviation systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SN
Target entity description: SN is the IATA airline designator used to identify Brussels Airlines in global aviation systems.
  • A. SN
    SN is the commonly used abbreviated form of the Ukrainian political party and former television series "Servant of the People."
  • B. NS
    NS is the standard abbreviation for Norfolk Southern Railway, a major Class I freight railroad operating primarily in the eastern United States.
  • C. NS
    NS (Nederlandse Spoorwegen) is the principal Dutch railway company responsible for most passenger train services in the Netherlands.
  • D. N
    The N is a New York City Subway service that runs along the Broadway Line in Manhattan and connects Queens, Manhattan, and Brooklyn.
  • E. BN
    BN is the vehicle registration code used on license plates for the German city of Bonn.
  • 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9f342e88190a430b02842ded418 completed March 7, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf7085b88190938c4eefa4380970 completed March 9, 2026, 12:39 p.m.
NEDg Description generation batch_69aec30189d081908bb6865937aff20d completed March 9, 2026, 12:54 p.m.
NED2 Entity disambiguation (via description) batch_69aec39bb6a4819084652814e18f60d4 completed March 9, 2026, 12:56 p.m.
Created at: March 6, 2026, 9:43 p.m.