Triple

T9077541
Position Surface form Disambiguated ID Type / Status
Subject Krosno E217525 entity
Predicate carPlates P1173 FINISHED
Object RK
RK is the regional vehicle registration code used on car license plates issued in Krosno, a city in southeastern Poland.
 E776770 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: [Krosno, carPlates, RK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RK
Context triple: [Krosno, carPlates, RK]
  • A. RK
    RK is the commonly used abbreviation for the Riigikogu, the unicameral national parliament of Estonia.
  • B. RK
    RK is the vehicle registration code used for the town of Ružomberok in northern Slovakia.
  • C. 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.
  • D. RB
    RB is the abbreviation for CERN’s Research Board, the committee responsible for overseeing and approving the laboratory’s scientific research program.
  • E. RM
    RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
  • 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: [Krosno, carPlates, RK]
Generated description
RK is the regional vehicle registration code used on car license plates issued in Krosno, a city in southeastern Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RK
Target entity description: RK is the regional vehicle registration code used on car license plates issued in Krosno, a city in southeastern Poland.
  • 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. 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.
  • D. RB
    RB is the abbreviation for CERN’s Research Board, the committee responsible for overseeing and approving the laboratory’s scientific research program.
  • E. RM
    RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
  • 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_69ca83d6c14c8190bc056d927f00a2a2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc95c7d3688190a4c1c6a92965eae4 completed April 1, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe190c28819098ee017c75d72ad0 completed April 3, 2026, 5:51 p.m.
NEDg Description generation batch_69d0013b50e081909595efe822bf5565 completed April 3, 2026, 6:04 p.m.
NED2 Entity disambiguation (via description) batch_69d001f04db48190aaa1fb9efb36df2b completed April 3, 2026, 6:07 p.m.
Created at: March 30, 2026, 7:12 p.m.