Triple

T2912450
Position Surface form Disambiguated ID Type / Status
Subject Royal Norwegian Society of Sciences and Letters E63713 entity
Predicate abbreviation P43 FINISHED
Object DKNVS
DKNVS is the abbreviation for the Royal Norwegian Society of Sciences and Letters, one of Norway’s oldest and most prestigious learned societies dedicated to the advancement of science and scholarship.
 E308962 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: DKNVS | Statement: [Royal Norwegian Society of Sciences and Letters, abbreviation, DKNVS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DKNVS
Context triple: [Royal Norwegian Society of Sciences and Letters, abbreviation, DKNVS]
  • A. KNS
    KNS is the Polish vehicle registration code assigned to the Nowy Sącz area in the Lesser Poland Voivodeship.
  • B. KNF
    KNF is the IATA airport code for RAF Marham, a Royal Air Force station in Norfolk, England.
  • C. DK
    DK is a British illustrated reference publisher best known for its highly visual nonfiction books for children and adults across topics like science, history, travel, and nature.
  • D. DK
    DK is the ISO 3166-1 alpha-2 country code for Denmark, a Nordic nation in Northern Europe.
  • E. PKN
    PKN is the main Protestant denomination in the Netherlands, formed by the merger of several historic Reformed and Lutheran churches.
  • 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: DKNVS
Triple: [Royal Norwegian Society of Sciences and Letters, abbreviation, DKNVS]
Generated description
DKNVS is the abbreviation for the Royal Norwegian Society of Sciences and Letters, one of Norway’s oldest and most prestigious learned societies dedicated to the advancement of science and scholarship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DKNVS
Target entity description: DKNVS is the abbreviation for the Royal Norwegian Society of Sciences and Letters, one of Norway’s oldest and most prestigious learned societies dedicated to the advancement of science and scholarship.
  • A. KNS
    KNS is the Polish vehicle registration code assigned to the Nowy Sącz area in the Lesser Poland Voivodeship.
  • B. KNF
    KNF is the IATA airport code for RAF Marham, a Royal Air Force station in Norfolk, England.
  • C. DK
    DK is the ISO 3166-1 alpha-2 country code for Denmark, a Nordic nation in Northern Europe.
  • D. DK
    DK is a British illustrated reference publisher best known for its highly visual nonfiction books for children and adults across topics like science, history, travel, and nature.
  • E. PKN
    PKN is the main Protestant denomination in the Netherlands, formed by the merger of several historic Reformed and Lutheran churches.
  • 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_69ab4c44ab448190b9411324e8a1fc1d completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe0eb77708190b745b887f3b9a618 completed March 7, 2026, 8:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0562014fc8190b7b702fa40682382 completed March 10, 2026, 5:34 p.m.
NEDg Description generation batch_69b05f7e78e8819095185f170ca26bda completed March 10, 2026, 6:14 p.m.
NED2 Entity disambiguation (via description) batch_69b0617a21a881909a0f52268a2494a6 completed March 10, 2026, 6:22 p.m.
Created at: March 6, 2026, 10:11 p.m.