Triple

T10931710
Position Surface form Disambiguated ID Type / Status
Subject Rychnov nad Kněžnou District E258221 entity
Predicate usesVehicleRegistrationCode P1173 FINISHED
Object RK
RK is the vehicle registration code used for motor vehicles registered in the Rychnov nad Kněžnou District of the Czech Republic.
 E893460 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: RK | Statement: [Rychnov nad Kněžnou District, usesVehicleRegistrationCode, RK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RK
Context triple: [Rychnov nad Kněžnou District, usesVehicleRegistrationCode, RK]
  • A. RK
    RK is the vehicle registration code used for the town of Ružomberok in northern Slovakia.
  • B. RK
    RK is the commonly used abbreviation for the Riigikogu, the unicameral national parliament of Estonia.
  • C. RK
    RK is the regional vehicle registration code used on car license plates issued in Krosno, a city in southeastern Poland.
  • D. R_K
    R_K is the von Klitzing constant, a fundamental physical constant that characterizes the quantized Hall resistance and underpins the modern definition of the ohm.
  • E. RB
    RB is the abbreviation for CERN’s Research Board, the committee responsible for overseeing and approving the laboratory’s scientific research program.
  • 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: RK
Triple: [Rychnov nad Kněžnou District, usesVehicleRegistrationCode, RK]
Generated description
RK is the vehicle registration code used for motor vehicles registered in the Rychnov nad Kněžnou District of the Czech Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RK
Target entity description: RK is the vehicle registration code used for motor vehicles registered in the Rychnov nad Kněžnou District of the Czech Republic.
  • A. RK
    RK is the vehicle registration code used for the town of Ružomberok in northern Slovakia.
  • B. RK
    RK is the commonly used abbreviation for the Riigikogu, the unicameral national parliament of Estonia.
  • C. RK
    RK is the regional vehicle registration code used on car license plates issued in Krosno, a city in southeastern Poland.
  • D. R_K
    R_K is the von Klitzing constant, a fundamental physical constant that characterizes the quantized Hall resistance and underpins the modern definition of the ohm.
  • E. RB
    RB is the abbreviation for CERN’s Research Board, the committee responsible for overseeing and approving the laboratory’s scientific research program.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770a062f481908beb76c6dbaeb6a6 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2175711d4819088f93bdf64ba4d3f completed April 17, 2026, 11:19 a.m.
NEDg Description generation batch_69e21e54e22881908726f088643edfd2 completed April 17, 2026, 11:49 a.m.
NED2 Entity disambiguation (via description) batch_69e21f1134d0819082fcc735da61d347 completed April 17, 2026, 11:52 a.m.
Created at: April 8, 2026, 9:23 p.m.