Triple

T20330958
Position Surface form Disambiguated ID Type / Status
Subject Krotoszyn E492478 entity
Predicate carPlates P1173 FINISHED
Object PKR
PKR is the vehicle registration code assigned to cars registered in Krotoszyn, a town in west-central Poland.
E1424617 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: PKR | Statement: [Krotoszyn, carPlates, PKR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PKR
Context triple: [Krotoszyn, carPlates, PKR]
  • A. PKR
    PKR is a major Malaysian political party known for advocating social justice, multiracial representation, and reform-oriented governance.
  • B. PKR
    PKR is the official currency code for the Pakistani rupee, the legal tender of Pakistan.
  • C. PKP
    PKP is Poland’s state-owned national railway operator, responsible for much of the country’s passenger and freight rail transport infrastructure.
  • D. RKR
    RKR is the vehicle registration code assigned to vehicles registered in the Rymanów area of Poland.
  • E. PKB
    PKB is the IATA airport code for Mid-Ohio Valley Regional Airport serving the Parkersburg–Vienna area in West Virginia, USA.
  • 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: PKR
Triple: [Krotoszyn, carPlates, PKR]
Generated description
PKR is the vehicle registration code assigned to cars registered in Krotoszyn, a town in west-central Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PKR
Target entity description: PKR is the vehicle registration code assigned to cars registered in Krotoszyn, a town in west-central Poland.
  • A. PKR
    PKR is the official currency code for the Pakistani rupee, the legal tender of Pakistan.
  • B. PKR
    PKR is a major Malaysian political party known for advocating social justice, multiracial representation, and reform-oriented governance.
  • C. PKP
    PKP is Poland’s state-owned national railway operator, responsible for much of the country’s passenger and freight rail transport infrastructure.
  • D. RKR
    RKR is the vehicle registration code assigned to vehicles registered in the Rymanów area of Poland.
  • E. PKB
    PKB is the IATA airport code for Mid-Ohio Valley Regional Airport serving the Parkersburg–Vienna area in West Virginia, USA.
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e7baf481909282293d78597634 completed April 20, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a086951af848190ae8085b7917ea551 completed May 16, 2026, 12:55 p.m.
NEDg Description generation batch_6a0869e2a80481909105005195330dc9 completed May 16, 2026, 12:58 p.m.
NED2 Entity disambiguation (via description) batch_6a086a6ad6c88190be1770758d2e1bbf completed May 16, 2026, 1 p.m.
Created at: April 16, 2026, 11:22 a.m.