Triple

T14651868
Position Surface form Disambiguated ID Type / Status
Subject Ludbreg E344007 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object VŽ
VŽ is the vehicle registration code used for the town of Ludbreg in Croatia.
 E1112179 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: VŽ | Statement: [Ludbreg, vehicleRegistrationCode, VŽ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VŽ
Context triple: [Ludbreg, vehicleRegistrationCode, VŽ]
  • A. VZ
    VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
  • B. VZL
    VZL is the station code for Vijzelgracht metro station on Amsterdam’s North–South metro line.
  • C. VZIO
    VZIO is the stock ticker symbol for Vizio Holding Corp., an American company known for manufacturing affordable smart TVs and related consumer electronics.
  • D. VŠE
    VŠE is the commonly used abbreviation for the University of Economics in Prague, a leading Czech institution specializing in economics and business studies.
  • E. VEVZ
    VEVZ is the ICAO airport code for Visakhapatnam Airport, a major civil and military airfield serving the city of Visakhapatnam in Andhra Pradesh, India.
  • 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: VŽ
Triple: [Ludbreg, vehicleRegistrationCode, VŽ]
Generated description
VŽ is the vehicle registration code used for the town of Ludbreg in Croatia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VŽ
Target entity description: VŽ is the vehicle registration code used for the town of Ludbreg in Croatia.
  • A. VZ
    VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
  • B. VZL
    VZL is the station code for Vijzelgracht metro station on Amsterdam’s North–South metro line.
  • C. VZIO
    VZIO is the stock ticker symbol for Vizio Holding Corp., an American company known for manufacturing affordable smart TVs and related consumer electronics.
  • D. VŠE
    VŠE is the commonly used abbreviation for the University of Economics in Prague, a leading Czech institution specializing in economics and business studies.
  • E. VEVZ
    VEVZ is the ICAO airport code for Visakhapatnam Airport, a major civil and military airfield serving the city of Visakhapatnam in Andhra Pradesh, India.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb517e7648190b9fc73d6cdbb68de completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5d9ab188190934deb57fd6d9a56 completed May 8, 2026, 12:23 p.m.
NEDg Description generation batch_69fdd6b2f6148190bb91d55833308d5f completed May 8, 2026, 12:27 p.m.
NED2 Entity disambiguation (via description) batch_69fdd77fdc608190a89e4dbf5ce4b695 completed May 8, 2026, 12:30 p.m.
Created at: April 10, 2026, 1:27 a.m.