Triple

T1354093
Position Surface form Disambiguated ID Type / Status
Subject Norwegian Air Shuttle E28947 entity
Predicate IATAcode P418 FINISHED
Object DY
DY is the IATA airline designator used by Norwegian Air Shuttle, a major low-cost carrier based in Norway.
 E156089 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: DY | Statement: [Norwegian Air Shuttle, IATAcode, DY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DY
Context triple: [Norwegian Air Shuttle, IATAcode, DY]
  • A. DH
    DH is the official abbreviation for Puerto Rico’s Department of Treasury, the government agency responsible for managing the island’s fiscal and tax affairs.
  • B. DK
    DK is the ISO 3166-1 alpha-2 country code for Denmark, a Nordic nation in Northern Europe.
  • C. YG
    YG is an American rapper and songwriter known for his West Coast gangsta rap style and hits like "My Nigga" and "Big Bank."
  • D. CY
    CY is the two-letter ISO 3166-1 alpha-2 country code assigned to Cyprus for international standardization and identification purposes.
  • E. DI
    DI is the abbreviation for Defence Intelligence, the United Kingdom’s military intelligence organization responsible for providing strategic and operational intelligence to the government and armed forces.
  • 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: DY
Triple: [Norwegian Air Shuttle, IATAcode, DY]
Generated description
DY is the IATA airline designator used by Norwegian Air Shuttle, a major low-cost carrier based in Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DY
Target entity description: DY is the IATA airline designator used by Norwegian Air Shuttle, a major low-cost carrier based in Norway.
  • A. DH
    DH is the official abbreviation for Puerto Rico’s Department of Treasury, the government agency responsible for managing the island’s fiscal and tax affairs.
  • B. DK
    DK is the ISO 3166-1 alpha-2 country code for Denmark, a Nordic nation in Northern Europe.
  • C. YG
    YG is an American rapper and songwriter known for his West Coast gangsta rap style and hits like "My Nigga" and "Big Bank."
  • D. CY
    CY is the two-letter ISO 3166-1 alpha-2 country code assigned to Cyprus for international standardization and identification purposes.
  • E. DI
    DI is the abbreviation for Defence Intelligence, the United Kingdom’s military intelligence organization responsible for providing strategic and operational intelligence to the government and armed forces.
  • 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c26e916c8190b4b324df87f4c121 completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce6bf6188190a0e1c8acd16b8088 completed March 8, 2026, 1:18 a.m.
NEDg Description generation batch_69accf47541481909f2032cdf8e4272b completed March 8, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_69accff8af488190a7580cf7c02ceed9 completed March 8, 2026, 1:25 a.m.
Created at: March 1, 2026, 7:56 p.m.