Triple

T2427240
Position Surface form Disambiguated ID Type / Status
Subject Rymanów E53557 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object RKR
RKR is the vehicle registration code assigned to vehicles registered in the Rymanów area of Poland.
E266178 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: RKR | Statement: [Rymanów, vehicleRegistrationCode, RKR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RKR
Context triple: [Rymanów, vehicleRegistrationCode, RKR]
  • A. RK
    RK is the vehicle registration code used for the town of Ružomberok in northern Slovakia.
  • B. KRH
    KRH is the commonly used abbreviation for the King’s Royal Hussars, a British Army cavalry regiment.
  • C. RKP
    RKP is the Swedish abbreviation for the Swedish People’s Party of Finland, a liberal-centrist political party representing the Swedish-speaking minority in Finland.
  • D. KR
    KR is the vehicle registration code used on license plates for the German city of Krefeld.
  • E. RKC
    RKC is the commonly used abbreviation for the Revised Kyoto Convention, an international agreement that standardizes and simplifies customs procedures worldwide.
  • 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: RKR
Triple: [Rymanów, vehicleRegistrationCode, RKR]
Generated description
RKR is the vehicle registration code assigned to vehicles registered in the Rymanów area of Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RKR
Target entity description: RKR is the vehicle registration code assigned to vehicles registered in the Rymanów area of Poland.
  • A. RK
    RK is the vehicle registration code used for the town of Ružomberok in northern Slovakia.
  • B. KRH
    KRH is the commonly used abbreviation for the King’s Royal Hussars, a British Army cavalry regiment.
  • C. RKP
    RKP is the Swedish abbreviation for the Swedish People’s Party of Finland, a liberal-centrist political party representing the Swedish-speaking minority in Finland.
  • D. KR
    KR is the vehicle registration code used on license plates for the German city of Krefeld.
  • E. RKC
    RKC is the commonly used abbreviation for the Revised Kyoto Convention, an international agreement that standardizes and simplifies customs procedures worldwide.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99d0b1c8190bf0a94fa07919d21 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf637be4819096874a24e87f84ab completed March 9, 2026, 12:38 p.m.
NEDg Description generation batch_69aec7698e9881909c75137cb5cf2a0c completed March 9, 2026, 1:13 p.m.
NED2 Entity disambiguation (via description) batch_69aec87df0648190b8099b4eaa3d9b22 completed March 9, 2026, 1:17 p.m.
Created at: March 6, 2026, 9:42 p.m.