Triple

T14377636
Position Surface form Disambiguated ID Type / Status
Subject SE-D E356515 entity
Predicate partOf P40 FINISHED
Object ISO 3166-2:SE
ISO 3166-2:SE is the section of the ISO 3166-2 standard that defines the official subdivision codes for the counties of Sweden.
E1095965 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: ISO 3166-2:SE | Statement: [SE-D, partOf, ISO 3166-2:SE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISO 3166-2:SE
Context triple: [SE-D, partOf, ISO 3166-2:SE]
  • A. Swedavia
    Swedavia is a Swedish state-owned company that owns, operates, and develops several of Sweden’s major airports.
  • B. Sweden
    Sweden is a Nordic country in Northern Europe known for its high standard of living, strong welfare state, and long-standing policy of neutrality.
  • C. southeastern Sweden
    Southeastern Sweden is a region of Sweden along the Baltic Sea coast known for its archipelagos, coastal towns, and mixed rural and urban landscapes.
  • D. Södermanland cultural region
    The Södermanland cultural region is a historical and cultural area in eastern Sweden characterized by its traditional landscapes, heritage sites, and shared regional identity encompassing places like Nykvarn Municipality.
  • E. Götaland
    Götaland is one of Sweden’s three major historical lands, encompassing the country’s southern regions and several of its largest cities.
  • 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: ISO 3166-2:SE
Triple: [SE-D, partOf, ISO 3166-2:SE]
Generated description
ISO 3166-2:SE is the section of the ISO 3166-2 standard that defines the official subdivision codes for the counties of Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ISO 3166-2:SE
Target entity description: ISO 3166-2:SE is the section of the ISO 3166-2 standard that defines the official subdivision codes for the counties of Sweden.
  • A. Swedavia
    Swedavia is a Swedish state-owned company that owns, operates, and develops several of Sweden’s major airports.
  • B. Sweden
    Sweden is a Nordic country in Northern Europe known for its high standard of living, strong welfare state, and long-standing policy of neutrality.
  • C. southeastern Sweden
    Southeastern Sweden is a region of Sweden along the Baltic Sea coast known for its archipelagos, coastal towns, and mixed rural and urban landscapes.
  • D. Södermanland cultural region
    The Södermanland cultural region is a historical and cultural area in eastern Sweden characterized by its traditional landscapes, heritage sites, and shared regional identity encompassing places like Nykvarn Municipality.
  • E. Götaland
    Götaland is one of Sweden’s three major historical lands, encompassing the country’s southern regions and several of its largest cities.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900a67e08190ab1dcf36e6bb3405 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c5728fc819089ef3c7c34b10101 completed May 8, 2026, 2:37 a.m.
NEDg Description generation batch_69fd4e4bae188190a8d1c5b833d58cd8 completed May 8, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69fd4f5782b4819081d32dbef032ac61 completed May 8, 2026, 2:49 a.m.
Created at: April 10, 2026, 1:16 a.m.