Triple

T8678109
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan Borough of Knowsley E205964 entity
Predicate NUTSCode P2415 FINISHED
Object UKD74
UKD74 is the NUTS statistical code designating the Metropolitan Borough of Knowsley area within the United Kingdom’s regional classification system.
 E752167 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: UKD74 | Statement: [Metropolitan Borough of Knowsley, NUTSCode, UKD74]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UKD74
Context triple: [Metropolitan Borough of Knowsley, NUTSCode, UKD74]
  • A. UWKD
    UWKD is the ICAO airport code for Kazan International Airport in Kazan, Russia.
  • B. UKB
    UKB is the IATA airport code for Kobe Airport, a regional airport serving the city of Kobe in Japan.
  • C. UKB
    UKB is the abbreviation commonly used for University Hospital Bonn, a major academic medical center in Bonn, Germany.
  • D. K7
    K7 is the registration number of the Bluebird K7, the famous mid-20th-century hydroplane in which Donald Campbell set multiple world water speed records.
  • E. UKL17
    UKL17 is the NUTS statistical region code designating the Neath Port Talbot area in Wales, United Kingdom.
  • 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: UKD74
Triple: [Metropolitan Borough of Knowsley, NUTSCode, UKD74]
Generated description
UKD74 is the NUTS statistical code designating the Metropolitan Borough of Knowsley area within the United Kingdom’s regional classification system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UKD74
Target entity description: UKD74 is the NUTS statistical code designating the Metropolitan Borough of Knowsley area within the United Kingdom’s regional classification system.
  • A. UWKD
    UWKD is the ICAO airport code for Kazan International Airport in Kazan, Russia.
  • B. UKB
    UKB is the IATA airport code for Kobe Airport, a regional airport serving the city of Kobe in Japan.
  • C. UKB
    UKB is the abbreviation commonly used for University Hospital Bonn, a major academic medical center in Bonn, Germany.
  • D. K7
    K7 is the registration number of the Bluebird K7, the famous mid-20th-century hydroplane in which Donald Campbell set multiple world water speed records.
  • E. UKL17
    UKL17 is the NUTS statistical region code designating the Neath Port Talbot area in Wales, United Kingdom.
  • 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_69ca83529a9c8190b5c075b4f14636ed completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc49f7c2c081909ec93413ceefbb1c completed March 31, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3a98ee881908d546e9a55217792 completed April 2, 2026, 10:54 p.m.
NEDg Description generation batch_69cef8454ebc81909da0b73395f519cc completed April 2, 2026, 11:14 p.m.
NED2 Entity disambiguation (via description) batch_69cef8d198dc819087199a155d081121 completed April 2, 2026, 11:16 p.m.
Created at: March 30, 2026, 6:32 p.m.