Triple

T353334
Position Surface form Disambiguated ID Type / Status
Subject Sweden E7489 entity
Predicate ISO3166-1Alpha3Code P189 FINISHED
Object SWE
SWE is the three-letter ISO 3166-1 alpha-3 country code representing Sweden.
 E44646 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: SWE | Statement: [Sweden, ISO3166-1Alpha3Code, SWE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SWE
Context triple: [Sweden, ISO3166-1Alpha3Code, SWE]
  • A. SAS
    SAS is a widely used statistical software suite for advanced analytics, business intelligence, data management, and predictive modeling.
  • B. 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.
  • 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. SWA
    SWA is the ICAO airline designator used to identify Southwest Airlines in aviation operations and air traffic control.
  • E. Software Development Laboratories
    Software Development Laboratories was the original name of the company that later became Oracle Corporation, a major multinational database and enterprise software company.
  • 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: SWE
Triple: [Sweden, ISO3166-1Alpha3Code, SWE]
Generated description
SWE is the three-letter ISO 3166-1 alpha-3 country code representing Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SWE
Target entity description: SWE is the three-letter ISO 3166-1 alpha-3 country code representing Sweden.
  • 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. SWA
    SWA is the ICAO airline designator used to identify Southwest Airlines in aviation operations and air traffic control.
  • E. Software Development Laboratories
    Software Development Laboratories was the original name of the company that later became Oracle Corporation, a major multinational database and enterprise software company.
  • 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_69a2e7e696948190bebc966535995e45 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eb80f524819093f4c2c18c3d615f completed Feb. 28, 2026, 1:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3dd353b488190b6ed966290260806 completed March 1, 2026, 6:31 a.m.
NEDg Description generation batch_69a3ddbbe7e08190ac167e158d19dbce completed March 1, 2026, 6:33 a.m.
NED2 Entity disambiguation (via description) batch_69a3de3fef7c819082193eb7083175e1 completed March 1, 2026, 6:35 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.