Triple

T2560800
Position Surface form Disambiguated ID Type / Status
Subject Polska Krajowa Kasa Pożyczkowa E57237 entity
Predicate shortName P43 FINISHED
Object PKKP
PKKP is the abbreviation for Polska Krajowa Kasa Pożyczkowa, a historical Polish national loan office that played a key role in the country’s early financial and monetary system.
E278146 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: PKKP | Statement: [Polska Krajowa Kasa Pożyczkowa, shortName, PKKP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PKKP
Context triple: [Polska Krajowa Kasa Pożyczkowa, shortName, PKKP]
  • A. KP
    KP is the commonly used abbreviation for Khyber Pakhtunkhwa, a province in northwestern Pakistan known for its mountainous terrain and diverse ethnic communities.
  • B. PK
    PK is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Pakistan in international standards and systems.
  • C. UKK
    UKK is the NUTS statistical region code used by the European Union to designate Southwest England for regional analysis and reporting.
  • D. KJK
    KJK is the IATA airport code for Koksijde Air Base in Belgium.
  • E. SKK
    SKK was the ISO 4217 currency code for the Slovak koruna, the former official currency of Slovakia before adoption of the euro.
  • 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: PKKP
Triple: [Polska Krajowa Kasa Pożyczkowa, shortName, PKKP]
Generated description
PKKP is the abbreviation for Polska Krajowa Kasa Pożyczkowa, a historical Polish national loan office that played a key role in the country’s early financial and monetary system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PKKP
Target entity description: PKKP is the abbreviation for Polska Krajowa Kasa Pożyczkowa, a historical Polish national loan office that played a key role in the country’s early financial and monetary system.
  • A. KP
    KP is the commonly used abbreviation for Khyber Pakhtunkhwa, a province in northwestern Pakistan known for its mountainous terrain and diverse ethnic communities.
  • B. PK
    PK is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Pakistan in international standards and systems.
  • C. UKK
    UKK is the NUTS statistical region code used by the European Union to designate Southwest England for regional analysis and reporting.
  • D. KJK
    KJK is the IATA airport code for Koksijde Air Base in Belgium.
  • E. SKK
    SKK was the ISO 4217 currency code for the Slovak koruna, the former official currency of Slovakia before adoption of the euro.
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd334b69481908a6f2c0b41550ce9 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d233dbc81909feb1127cffb027f completed March 9, 2026, 11:52 p.m.
NEDg Description generation batch_69af60e78b488190bdd01ee77ed3648b completed March 10, 2026, 12:08 a.m.
NED2 Entity disambiguation (via description) batch_69af614ad2408190955c430cb7a7e302 completed March 10, 2026, 12:09 a.m.
Created at: March 6, 2026, 9:48 p.m.