Triple

T1915889
Position Surface form Disambiguated ID Type / Status
Subject Southwest England E40015 entity
Predicate NUTSRegionCode P2415 FINISHED
Object UKK
UKK is the NUTS statistical region code used by the European Union to designate Southwest England for regional analysis and reporting.
 E216376 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: UKK | Statement: [Southwest England, NUTSRegionCode, UKK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UKK
Context triple: [Southwest England, NUTSRegionCode, UKK]
  • A. SKK
    SKK was the ISO 4217 currency code for the Slovak koruna, the former official currency of Slovakia before adoption of the euro.
  • B. UKB
    UKB is the IATA airport code for Kobe Airport, a regional airport serving the city of Kobe in Japan.
  • C. TKK
    TKK is the former Helsinki University of Technology, a major Finnish institution known for its engineering and technology education and research.
  • D. UzK
    UzK is the commonly used abbreviation for the University of Cologne, one of Germany’s largest and oldest universities.
  • E. UKX
    UKX is the stock market index code used to represent the FTSE 100, a benchmark index of the largest companies listed on the London Stock Exchange.
  • 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: UKK
Triple: [Southwest England, NUTSRegionCode, UKK]
Generated description
UKK is the NUTS statistical region code used by the European Union to designate Southwest England for regional analysis and reporting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UKK
Target entity description: UKK is the NUTS statistical region code used by the European Union to designate Southwest England for regional analysis and reporting.
  • A. SKK
    SKK was the ISO 4217 currency code for the Slovak koruna, the former official currency of Slovakia before adoption of the euro.
  • B. UKB
    UKB is the IATA airport code for Kobe Airport, a regional airport serving the city of Kobe in Japan.
  • C. TKK
    TKK is the former Helsinki University of Technology, a major Finnish institution known for its engineering and technology education and research.
  • D. UzK
    UzK is the commonly used abbreviation for the University of Cologne, one of Germany’s largest and oldest universities.
  • E. UKX
    UKX is the stock market index code used to represent the FTSE 100, a benchmark index of the largest companies listed on the London Stock Exchange.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1e517e8819086e4bf5a305aeb25 completed March 7, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3da81308190a49844a8ac2997da completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf5d259488190ad105f0083577ecc completed March 8, 2026, 10:18 p.m.
NED2 Entity disambiguation (via description) batch_69adf6264d148190be0daef2be7f920d completed March 8, 2026, 10:20 p.m.
Created at: March 4, 2026, 7:35 p.m.