Triple

T16679697
Position Surface form Disambiguated ID Type / Status
Subject Suceava County E405306 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object SV
SV is the vehicle registration code used on license plates for vehicles registered in Suceava County, Romania.
 E1228199 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: SV | Statement: [Suceava County, vehicleRegistrationCode, SV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SV
Context triple: [Suceava County, vehicleRegistrationCode, SV]
  • A. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • B. 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.
  • C. SV
    SV is a Norwegian democratic socialist and environmentalist political party known for its left-wing stance on social justice, welfare, and climate policy.
  • D. SV
    SV is the official abbreviation for the Slovenian Armed Forces, the military organization responsible for defending the Republic of Slovenia.
  • E. SR
    The SR is the Toyota Tacoma’s basic work-oriented trim level, offering essential features and durability at an affordable price.
  • 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: SV
Triple: [Suceava County, vehicleRegistrationCode, SV]
Generated description
SV is the vehicle registration code used on license plates for vehicles registered in Suceava County, Romania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SV
Target entity description: SV is the vehicle registration code used on license plates for vehicles registered in Suceava County, Romania.
  • A. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • B. 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.
  • C. SV
    SV is the official abbreviation for the Slovenian Armed Forces, the military organization responsible for defending the Republic of Slovenia.
  • D. SV
    SV is a Norwegian democratic socialist and environmentalist political party known for its left-wing stance on social justice, welfare, and climate policy.
  • E. SR
    SR is the two-letter ISO 3166-1 alpha-2 country code assigned to Suriname.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6e74ec81909ea95c3e4b0113ab completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a3e2ddc8190a59108cdf001dac2 completed May 10, 2026, 1:38 p.m.
NEDg Description generation batch_6a008b600e5c819084795fee911b0716 completed May 10, 2026, 1:42 p.m.
NED2 Entity disambiguation (via description) batch_6a008bee78248190b920d780bcbd3032 completed May 10, 2026, 1:45 p.m.
Created at: April 10, 2026, 5:19 a.m.