Triple

T15100915
Position Surface form Disambiguated ID Type / Status
Subject Statsrådets kansli E360660 entity
Predicate hasAbbreviation P43 FINISHED
Object VNK
VNK is the abbreviation for the Prime Minister’s Office of Finland, which supports the government and coordinates its activities.
 E1136647 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: VNK | Statement: [Statsrådets kansli, hasAbbreviation, VNK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VNK
Context triple: [Statsrådets kansli, hasAbbreviation, VNK]
  • A. VNKT
    VNKT is the ICAO airport code for Tribhuvan International Airport, the main international gateway serving Kathmandu, Nepal.
  • B. VNU
    VNU is a leading public research university system in Vietnam, headquartered in Hanoi and known for its comprehensive programs and high academic standards.
  • C. VNNG
    VNNG is the ICAO airport code for Nepalgunj Airport in Nepal, a regional hub serving the city of Nepalgunj and surrounding areas.
  • D. VNLK
    VNLK is the ICAO airport code for Tenzing-Hillary Airport, the small but famous high-altitude airfield serving Lukla in Nepal’s Everest region.
  • E. VRN
    VRN is the public transport association serving Germany’s Rhine-Neckar metropolitan region, coordinating regional and local transit services across multiple states.
  • 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: VNK
Triple: [Statsrådets kansli, hasAbbreviation, VNK]
Generated description
VNK is the abbreviation for the Prime Minister’s Office of Finland, which supports the government and coordinates its activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VNK
Target entity description: VNK is the abbreviation for the Prime Minister’s Office of Finland, which supports the government and coordinates its activities.
  • A. VNKT
    VNKT is the ICAO airport code for Tribhuvan International Airport, the main international gateway serving Kathmandu, Nepal.
  • B. VNU
    VNU is a leading public research university system in Vietnam, headquartered in Hanoi and known for its comprehensive programs and high academic standards.
  • C. VNNG
    VNNG is the ICAO airport code for Nepalgunj Airport in Nepal, a regional hub serving the city of Nepalgunj and surrounding areas.
  • D. VNLK
    VNLK is the ICAO airport code for Tenzing-Hillary Airport, the small but famous high-altitude airfield serving Lukla in Nepal’s Everest region.
  • E. VRN
    VRN is the public transport association serving Germany’s Rhine-Neckar metropolitan region, coordinating regional and local transit services across multiple states.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00550007481909e02ee1d597a4d37 completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae2571f48190b73f0aecd113fed6 completed May 9, 2026, 3:46 a.m.
NEDg Description generation batch_69feb0be78b0819092cc9d7e8775458f completed May 9, 2026, 3:57 a.m.
NED2 Entity disambiguation (via description) batch_69feb15a575c8190b02a21449530e361 completed May 9, 2026, 4 a.m.
Created at: April 10, 2026, 3:04 a.m.