Triple

T1047210
Position Surface form Disambiguated ID Type / Status
Subject Oslo Airport, Gardermoen E22608 entity
Predicate IATAcode P418 FINISHED
Object OSL
OSL is the three-letter IATA airport code for Oslo Airport, Gardermoen, the main international airport serving Norway’s capital.
 E119729 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: OSL | Statement: [Oslo Airport, Gardermoen, IATAcode, OSL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OSL
Context triple: [Oslo Airport, Gardermoen, IATAcode, OSL]
  • A. OSO
    OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
  • B. OLMS
    OLMS is a U.S. Department of Labor agency responsible for promoting transparency, democracy, and financial integrity in labor unions and labor-management relations.
  • C. OLEM
    OLEM is a division of the U.S. Environmental Protection Agency responsible for overseeing land preservation, hazardous waste management, and emergency environmental response activities.
  • D. FOSL
    FOSL is the stock ticker symbol for Fossil Group, an American fashion company best known for its watches, jewelry, and accessories.
  • E. LSL
    LSL is the currency code for the Lesotho loti, the official monetary unit of Lesotho.
  • 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: OSL
Triple: [Oslo Airport, Gardermoen, IATAcode, OSL]
Generated description
OSL is the three-letter IATA airport code for Oslo Airport, Gardermoen, the main international airport serving Norway’s capital.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OSL
Target entity description: OSL is the three-letter IATA airport code for Oslo Airport, Gardermoen, the main international airport serving Norway’s capital.
  • A. OSO
    OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
  • B. OLMS
    OLMS is a U.S. Department of Labor agency responsible for promoting transparency, democracy, and financial integrity in labor unions and labor-management relations.
  • C. OLEM
    OLEM is a division of the U.S. Environmental Protection Agency responsible for overseeing land preservation, hazardous waste management, and emergency environmental response activities.
  • D. FOSL
    FOSL is the stock ticker symbol for Fossil Group, an American fashion company best known for its watches, jewelry, and accessories.
  • E. LSL
    LSL is the currency code for the Lesotho loti, the official monetary unit of Lesotho.
  • 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b84d30888190b66f7245d781957d completed March 1, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bcb65d08190b2ea04b6de3bb39b completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3ce6228881908f429cb0a016a17a completed March 7, 2026, 2:57 p.m.
NED2 Entity disambiguation (via description) batch_69ac3d3ed140819087ede15c555e2f4d completed March 7, 2026, 2:59 p.m.
Created at: March 1, 2026, 7:42 p.m.