Triple

T18749722
Position Surface form Disambiguated ID Type / Status
Subject ISO national member bodies E458495 entity
Predicate hasExample P1259 FINISHED
Object SIS (Sweden)
SIS (Sweden) is the Swedish national standards organization responsible for developing and promoting standards in collaboration with international bodies such as ISO.
E1342250 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: SIS (Sweden) | Statement: [ISO national member bodies, hasExample, SIS (Sweden)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SIS (Sweden)
Context triple: [ISO national member bodies, hasExample, SIS (Sweden)]
  • A. Swedavia
    Swedavia is a Swedish state-owned company that owns, operates, and develops several of Sweden’s major airports.
  • B. Svea
    Svea is a patriotic poem by Swedish poet Esaias Tegnér that celebrates Sweden and helped establish his reputation in early 19th-century Swedish literature.
  • C. Eskilstuna Guif
    Eskilstuna Guif is a Swedish handball club based in Eskilstuna, known for competing in the country’s top handball leagues.
  • D. 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.
  • E. Isfält
    Isfält is a Swedish surname most notably borne by the film composer Björn Isfält.
  • 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: SIS (Sweden)
Triple: [ISO national member bodies, hasExample, SIS (Sweden)]
Generated description
SIS (Sweden) is the Swedish national standards organization responsible for developing and promoting standards in collaboration with international bodies such as ISO.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SIS (Sweden)
Target entity description: SIS (Sweden) is the Swedish national standards organization responsible for developing and promoting standards in collaboration with international bodies such as ISO.
  • A. Swedavia
    Swedavia is a Swedish state-owned company that owns, operates, and develops several of Sweden’s major airports.
  • B. Svea
    Svea is a patriotic poem by Swedish poet Esaias Tegnér that celebrates Sweden and helped establish his reputation in early 19th-century Swedish literature.
  • C. Eskilstuna Guif
    Eskilstuna Guif is a Swedish handball club based in Eskilstuna, known for competing in the country’s top handball leagues.
  • D. 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.
  • E. Isfält
    Isfält is a Swedish surname most notably borne by the film composer Björn Isfält.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e579eb7350819099d7291207781116 completed April 20, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a053d350fbc81909969b6fa502af370 completed May 14, 2026, 3:10 a.m.
NEDg Description generation batch_6a05414a5b6c81908da562c6322e000d completed May 14, 2026, 3:28 a.m.
NED2 Entity disambiguation (via description) batch_6a054217f8cc8190810d9f99ee6a5f9c completed May 14, 2026, 3:31 a.m.
Created at: April 10, 2026, 11:51 a.m.