Triple

T17013984
Position Surface form Disambiguated ID Type / Status
Subject Vas County E412769 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object VA
VA is the vehicle registration code used on license plates for Vas County in Hungary.
 E1247038 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: VA | Statement: [Vas County, vehicleRegistrationCode, VA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VA
Context triple: [Vas County, vehicleRegistrationCode, VA]
  • A. VA
    VA is the IATA airline designator for Virgin Australia, a major Australian airline operating domestic and international flights.
  • B. Va
    Va is the autonym of the Wa people, an ethnic group primarily inhabiting the mountainous border regions of Myanmar and China.
  • C. Virginia
    Virginia is a small community located within the town of Georgina in Ontario, Canada.
  • D. Virginia
    Virginia is a semi-rural suburb in the northern Adelaide region of South Australia, known for its market gardens and greenhouse horticulture.
  • E. Virginia
    Virginia is a U.S. state in the Mid-Atlantic and Southeastern regions, known for its pivotal role in American history, including being home to several early presidents and key Revolutionary and Civil War sites.
  • 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: VA
Triple: [Vas County, vehicleRegistrationCode, VA]
Generated description
VA is the vehicle registration code used on license plates for Vas County in Hungary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VA
Target entity description: VA is the vehicle registration code used on license plates for Vas County in Hungary.
  • A. VA
    VA is the IATA airline designator for Virgin Australia, a major Australian airline operating domestic and international flights.
  • B. Va
    Va is the autonym of the Wa people, an ethnic group primarily inhabiting the mountainous border regions of Myanmar and China.
  • C. Virginia
    Virginia is a small community located within the town of Georgina in Ontario, Canada.
  • D. Virginia
    Virginia is a gold mining town in South Africa’s Free State province, known for its role in the region’s mining industry and its location near the Sand River.
  • E. Virginia
    Virginia is a semi-rural suburb in the northern Adelaide region of South Australia, known for its market gardens and greenhouse horticulture.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47e64f081908f43870c7564d0ae completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b4990948190861ff81f8fc3e8f2 completed May 10, 2026, 11:56 p.m.
NEDg Description generation batch_6a011cc1afc48190b83e3203407c1d7f completed May 11, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_6a011d67c82c8190b737406e8952eb2b completed May 11, 2026, 12:05 a.m.
Created at: April 10, 2026, 5:33 a.m.