Triple

T17127543
Position Surface form Disambiguated ID Type / Status
Subject Proszowice County E415635 entity
Predicate carPlatesCode P1173 FINISHED
Object KPR
KPR is the vehicle registration code assigned to cars registered in Proszowice County in southern Poland.
 E1251385 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: KPR | Statement: [Proszowice County, carPlatesCode, KPR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KPR
Context triple: [Proszowice County, carPlatesCode, KPR]
  • A. KPRM
    KPRM is the commonly used abbreviation for the Chancellery of the Prime Minister of Poland, the central office supporting the head of government.
  • B. KRP
    KRP is the IATA airport code for Karup Airport, a regional airport in Denmark.
  • C. BKPR
    BKPR is the ICAO airport code for Pristina International Airport, the main international gateway to Kosovo.
  • D. KPS
    KPS is the station code for Kempsey railway station in New South Wales, Australia.
  • E. KPRF
    KPRF is the commonly used abbreviation for the Communist Party of the Russian Federation, a major left-wing political party and principal successor to the Soviet-era Communist Party.
  • 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: KPR
Triple: [Proszowice County, carPlatesCode, KPR]
Generated description
KPR is the vehicle registration code assigned to cars registered in Proszowice County in southern Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KPR
Target entity description: KPR is the vehicle registration code assigned to cars registered in Proszowice County in southern Poland.
  • A. KPRM
    KPRM is the commonly used abbreviation for the Chancellery of the Prime Minister of Poland, the central office supporting the head of government.
  • B. KRP
    KRP is the IATA airport code for Karup Airport, a regional airport in Denmark.
  • C. BKPR
    BKPR is the ICAO airport code for Pristina International Airport, the main international gateway to Kosovo.
  • D. KPS
    KPS is the station code for Kempsey railway station in New South Wales, Australia.
  • E. KPRF
    KPRF is the commonly used abbreviation for the Communist Party of the Russian Federation, a major left-wing political party and principal successor to the Soviet-era Communist Party.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f027a3d081908fc1134b50db3d45 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a145e7481909242aab69baeb7a0 completed May 11, 2026, 2:08 a.m.
NEDg Description generation batch_6a013a8e69388190b8d48d70a28e99bd completed May 11, 2026, 2:10 a.m.
NED2 Entity disambiguation (via description) batch_6a013b6824888190853cf36548507e1b completed May 11, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:36 a.m.