Triple

T3039950
Position Surface form Disambiguated ID Type / Status
Subject Râmnicu Vâlcea E83100 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object VL
VL is the vehicle registration code used on license plates for vehicles registered in Râmnicu Vâlcea, Romania.
E320633 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: VL | Statement: [Râmnicu Vâlcea, vehicleRegistrationCode, VL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VL
Context triple: [Râmnicu Vâlcea, vehicleRegistrationCode, VL]
  • A. V
    V is the stock ticker symbol for Visa Inc., a leading global payments technology company.
  • B. LV
    LV is the two-letter ISO 3166-1 alpha-2 country code representing Latvia.
  • C. VE
    VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
  • D. VT
    VT is the standard two-letter postal abbreviation used to represent the U.S. state of Vermont.
  • E. VEN
    VEN is the three-letter ISO 3166-1 alpha-3 country code assigned to Venezuela for international identification and data standards.
  • 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: VL
Triple: [Râmnicu Vâlcea, vehicleRegistrationCode, VL]
Generated description
VL is the vehicle registration code used on license plates for vehicles registered in Râmnicu Vâlcea, Romania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VL
Target entity description: VL is the vehicle registration code used on license plates for vehicles registered in Râmnicu Vâlcea, Romania.
  • A. V
    V is the stock ticker symbol for Visa Inc., a leading global payments technology company.
  • B. LV
    LV is the two-letter ISO 3166-1 alpha-2 country code representing Latvia.
  • C. VE
    VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
  • D. VT
    VT is the standard two-letter postal abbreviation used to represent the U.S. state of Vermont.
  • E. VEN
    VEN is the three-letter ISO 3166-1 alpha-3 country code assigned to Venezuela for international identification and data standards.
  • 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_69ad8b2298908190a7cb4e9bdbf064d0 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9b59fea8819091796e30812df9c5 completed March 8, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1decc2e3c8190abdafb11632741a0 completed March 11, 2026, 9:29 p.m.
NEDg Description generation batch_69b1dfc77c1881909688d5037682fa01 completed March 11, 2026, 9:33 p.m.
NED2 Entity disambiguation (via description) batch_69b1e03121148190840fc48a50c4ec0e completed March 11, 2026, 9:35 p.m.
Created at: March 8, 2026, 3:01 p.m.