Triple

T18608545
Position Surface form Disambiguated ID Type / Status
Subject Cannock Chase District E454822 entity
Predicate hasNUTSCode P2415 FINISHED
Object UKG24
UKG24 is the NUTS statistical region code assigned to the Cannock Chase District in the West Midlands of England.
 E1333722 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: UKG24 | Statement: [Cannock Chase District, hasNUTSCode, UKG24]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UKG24
Context triple: [Cannock Chase District, hasNUTSCode, UKG24]
  • A. UKG
    UKG is a U.S.-based technology company specializing in human capital management and workforce management solutions.
  • B. UKG39
    UKG39 is the NUTS 3 statistical region code assigned to the Wolverhampton area in the United Kingdom.
  • C. GER U20
    GER U20 is the under-20 national ice hockey team of Germany that competes in international junior tournaments, including the IIHF World Junior Championship.
  • D. U6
    U6 is a major Munich U-Bahn line running north–south across the city, connecting key districts and transport hubs.
  • E. U6
    U6 is a major north–south line of the Berlin U-Bahn rapid transit system, connecting several key districts across the city.
  • 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: UKG24
Triple: [Cannock Chase District, hasNUTSCode, UKG24]
Generated description
UKG24 is the NUTS statistical region code assigned to the Cannock Chase District in the West Midlands of England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UKG24
Target entity description: UKG24 is the NUTS statistical region code assigned to the Cannock Chase District in the West Midlands of England.
  • A. UKG
    UKG is a U.S.-based technology company specializing in human capital management and workforce management solutions.
  • B. UKG39
    UKG39 is the NUTS 3 statistical region code assigned to the Wolverhampton area in the United Kingdom.
  • C. GER U20
    GER U20 is the under-20 national ice hockey team of Germany that competes in international junior tournaments, including the IIHF World Junior Championship.
  • D. U6
    U6 is a major Munich U-Bahn line running north–south across the city, connecting key districts and transport hubs.
  • E. U6
    U6 is the IATA airline designator assigned to Ural Airlines, a Russian commercial air carrier.
  • 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54cff3be8819080ab20045bd18a4d completed April 19, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a050387fe1c8190b29d4f4ad6ec4d6e completed May 13, 2026, 11:04 p.m.
NEDg Description generation batch_6a0504a2ee3081908fd92ea5ace4f62c completed May 13, 2026, 11:09 p.m.
NED2 Entity disambiguation (via description) batch_6a0505048ad081908ae23163a71a3c17 completed May 13, 2026, 11:11 p.m.
Created at: April 10, 2026, 11:45 a.m.