Triple

T12330823
Position Surface form Disambiguated ID Type / Status
Subject Association of Netherlands Municipalities E293955 entity
Predicate shortName P43 FINISHED
Object VNG
VNG is the Dutch national association that represents and supports the interests of municipalities in the Netherlands.
 E976093 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: VNG | Statement: [Association of Netherlands Municipalities, shortName, VNG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VNG
Context triple: [Association of Netherlands Municipalities, shortName, VNG]
  • A. VGN
    VGN (Verkehrsverbund Großraum Nürnberg) is the public transport association that coordinates and manages integrated ticketing and services across the greater Nuremberg metropolitan area in Germany.
  • B. VGT
    VGT is the IATA airport code for North Las Vegas Airport, a general aviation facility serving the Las Vegas area in Nevada, USA.
  • C. VRG
    VRG is the ICAO airline designator for Varig, the former Brazilian flag carrier and one of Latin America's historically significant airlines.
  • D. VNS
    VNS is the IATA airport code for Lal Bahadur Shastri International Airport serving Varanasi, India.
  • E. VJ
    VJ is the abbreviation for the Yugoslav Army, the armed forces of the former Federal Republic of Yugoslavia active during the 1990s and early 2000s.
  • 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: VNG
Triple: [Association of Netherlands Municipalities, shortName, VNG]
Generated description
VNG is the Dutch national association that represents and supports the interests of municipalities in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VNG
Target entity description: VNG is the Dutch national association that represents and supports the interests of municipalities in the Netherlands.
  • A. VGN
    VGN (Verkehrsverbund Großraum Nürnberg) is the public transport association that coordinates and manages integrated ticketing and services across the greater Nuremberg metropolitan area in Germany.
  • B. VGT
    VGT is the IATA airport code for North Las Vegas Airport, a general aviation facility serving the Las Vegas area in Nevada, USA.
  • C. VRG
    VRG is the ICAO airline designator for Varig, the former Brazilian flag carrier and one of Latin America's historically significant airlines.
  • D. VNS
    VNS is the IATA airport code for Lal Bahadur Shastri International Airport serving Varanasi, India.
  • E. VJ
    VJ is the abbreviation for the Yugoslav Army, the armed forces of the former Federal Republic of Yugoslavia active during the 1990s and early 2000s.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f634ee08190b4f533505d402219 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e9114f48190988b84eaec2e810f completed May 2, 2026, 3:56 p.m.
NEDg Description generation batch_69f61fd2429c8190a8a7c46c312e262d completed May 2, 2026, 4:01 p.m.
NED2 Entity disambiguation (via description) batch_69f623fbb32081909b7daa515eebf75d completed May 2, 2026, 4:19 p.m.
Created at: April 8, 2026, 9:53 p.m.