Triple

T3441756
Position Surface form Disambiguated ID Type / Status
Subject Dalarna E72579 entity
Predicate regionCode P208 FINISHED
Object SE-D
SE-D is the ISO 3166-2 regional code assigned to Dalarna County in Sweden.
 E356515 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: SE-D | Statement: [Dalarna, regionCode, SE-D]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SE-D
Context triple: [Dalarna, regionCode, SE-D]
  • A. SED
    SED was the ruling Marxist–Leninist party that governed East Germany (the German Democratic Republic) from its founding in 1949 until the end of communist rule in 1989.
  • B. SEGU
    SEGU is the ICAO airport code for José Joaquín de Olmedo International Airport, the main air gateway serving Guayaquil, Ecuador.
  • C. SE
    SE is the official two-letter postal abbreviation for the Brazilian state of Sergipe.
  • D. SE
    SE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Sweden in international standards and systems.
  • E. SE
    SE is the standard abbreviation for a Societas Europaea, a public limited-liability company structure that allows firms to operate across European Union member states under a single legal form.
  • 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: SE-D
Triple: [Dalarna, regionCode, SE-D]
Generated description
SE-D is the ISO 3166-2 regional code assigned to Dalarna County in Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SE-D
Target entity description: SE-D is the ISO 3166-2 regional code assigned to Dalarna County in Sweden.
  • A. SED
    SED was the ruling Marxist–Leninist party that governed East Germany (the German Democratic Republic) from its founding in 1949 until the end of communist rule in 1989.
  • B. SEGU
    SEGU is the ICAO airport code for José Joaquín de Olmedo International Airport, the main air gateway serving Guayaquil, Ecuador.
  • C. SE
    SE is the official two-letter postal abbreviation for the Brazilian state of Sergipe.
  • D. SE
    SE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Sweden in international standards and systems.
  • E. SE
    SE is the standard abbreviation for a Societas Europaea, a public limited-liability company structure that allows firms to operate across European Union member states under a single legal form.
  • 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_69ad85af50288190a854b76653deee6f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba276b708190949f294a8d09ec7b completed March 8, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3548598088190907e13c88cb975fc completed March 13, 2026, 12:04 a.m.
NEDg Description generation batch_69b355a8da148190896dacf746630445 completed March 13, 2026, 12:09 a.m.
NED2 Entity disambiguation (via description) batch_69b3561132888190b0439cd3d8e7bf96 completed March 13, 2026, 12:10 a.m.
Created at: March 8, 2026, 3:16 p.m.