Triple

T5705710
Position Surface form Disambiguated ID Type / Status
Subject Norwegian Public Roads Administration E125778 entity
Predicate shortName P43 FINISHED
Object SVV
SVV is the abbreviation for the Norwegian Public Roads Administration, the national authority responsible for planning, building, operating, and maintaining Norway’s public road network.
 E542129 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: SVV | Statement: [Norwegian Public Roads Administration, shortName, SVV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SVV
Context triple: [Norwegian Public Roads Administration, shortName, SVV]
  • A. SSV
    SSV is a lightweight, off-road side-by-side vehicle class commonly used in rally raid competitions for its agility and versatility over rough terrain.
  • B. VV
    VV is the common abbreviation for VistaVision, a high-resolution widescreen 35mm motion picture film format developed by Paramount Pictures in the 1950s.
  • C. sva
    sva is the ISO 639-3 code for the Svan language, a Kartvelian language spoken by the Svan people in the Svaneti region of northwestern Georgia.
  • D. SVC
    SVC is scikit-learn’s implementation of a Support Vector Machine classifier used for supervised learning tasks such as binary and multiclass classification.
  • E. VVO
    VVO is the three-letter IATA airport code for Vladivostok International Airport in Russia.
  • 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: SVV
Triple: [Norwegian Public Roads Administration, shortName, SVV]
Generated description
SVV is the abbreviation for the Norwegian Public Roads Administration, the national authority responsible for planning, building, operating, and maintaining Norway’s public road network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SVV
Target entity description: SVV is the abbreviation for the Norwegian Public Roads Administration, the national authority responsible for planning, building, operating, and maintaining Norway’s public road network.
  • A. SSV
    SSV is a lightweight, off-road side-by-side vehicle class commonly used in rally raid competitions for its agility and versatility over rough terrain.
  • B. VV
    VV is the common abbreviation for VistaVision, a high-resolution widescreen 35mm motion picture film format developed by Paramount Pictures in the 1950s.
  • C. sva
    sva is the ISO 639-3 code for the Svan language, a Kartvelian language spoken by the Svan people in the Svaneti region of northwestern Georgia.
  • D. SVC
    SVC is scikit-learn’s implementation of a Support Vector Machine classifier used for supervised learning tasks such as binary and multiclass classification.
  • E. VVO
    VVO is the three-letter IATA airport code for Vladivostok International Airport in Russia.
  • 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02459cd18819080fda0b481d11f08 completed March 22, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a666d788190a0f786d12391a44b completed March 22, 2026, 9:08 p.m.
NEDg Description generation batch_69c05be7f7cc8190bb1f8081289c5e02 completed March 22, 2026, 9:15 p.m.
NED2 Entity disambiguation (via description) batch_69c0621308588190a0d7a86bb804134d completed March 22, 2026, 9:41 p.m.
Created at: March 22, 2026, 3:45 p.m.