Triple

T19084531
Position Surface form Disambiguated ID Type / Status
Subject Svenska Dagbladet E467111 entity
Predicate abbreviation P43 FINISHED
Object SvD
SvD is a major Swedish daily newspaper known for its national and international news coverage, opinion pieces, and cultural reporting.
 E1356883 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: SvD | Statement: [Svenska Dagbladet, abbreviation, SvD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SvD
Context triple: [Svenska Dagbladet, abbreviation, SvD]
  • A. SV
    SV is a Norwegian democratic socialist and environmentalist political party known for its left-wing stance on social justice, welfare, and climate policy.
  • B. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • C. SV
    SV is the commonly used abbreviation for the Faculty of Social Sciences at the University of Oslo, encompassing disciplines such as sociology, political science, economics, and related fields.
  • D. SV
    SV is the official abbreviation for the Slovenian Armed Forces, the military organization responsible for defending the Republic of Slovenia.
  • E. SV
    SV is the vehicle registration code used on license plates for vehicles registered in Suceava County, Romania.
  • 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: SvD
Triple: [Svenska Dagbladet, abbreviation, SvD]
Generated description
SvD is a major Swedish daily newspaper known for its national and international news coverage, opinion pieces, and cultural reporting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SvD
Target entity description: SvD is a major Swedish daily newspaper known for its national and international news coverage, opinion pieces, and cultural reporting.
  • A. SV
    SV is a Norwegian democratic socialist and environmentalist political party known for its left-wing stance on social justice, welfare, and climate policy.
  • B. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • C. SV
    SV is the commonly used abbreviation for the Faculty of Social Sciences at the University of Oslo, encompassing disciplines such as sociology, political science, economics, and related fields.
  • D. SV
    SV is the official abbreviation for the Slovenian Armed Forces, the military organization responsible for defending the Republic of Slovenia.
  • E. SV
    SV is the vehicle registration code used on license plates for vehicles registered in Suceava County, Romania.
  • 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e34600f88190bd96bcc2c5c08d14 completed April 20, 2026, 8:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05d3663f748190bec29d54c6b86277 completed May 14, 2026, 1:51 p.m.
NEDg Description generation batch_6a05d3fe45c881908622e745b66abfd2 completed May 14, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_6a05d4b2292c8190bd4cd73969c610d8 completed May 14, 2026, 1:57 p.m.
Created at: April 10, 2026, 12:04 p.m.