Triple

T2747831
Position Surface form Disambiguated ID Type / Status
Subject North East Lincolnshire E60911 entity
Predicate postalArea P920 FINISHED
Object DN
DN is a UK postcode area covering Doncaster and surrounding parts of South Yorkshire and Lincolnshire, including North East Lincolnshire.
 E296151 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: DN | Statement: [North East Lincolnshire, postalArea, DN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DN
Context triple: [North East Lincolnshire, postalArea, DN]
  • A. DN
    DN is the official vehicle registration code used for the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
  • B. DEN
    DEN is the three-letter IATA airport code for Denver International Airport, the primary commercial airport serving Denver, Colorado.
  • C. ND
    ND is the official two-letter United States Postal Service abbreviation for the state of North Dakota.
  • D. DM
    DM is the commonly used abbreviation for the Deutsche Mark, the former official currency of West Germany and later unified Germany before the adoption of the euro.
  • E. DM
    DM is the abbreviated name commonly used for the Department of Management in an academic or organizational context.
  • 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: DN
Triple: [North East Lincolnshire, postalArea, DN]
Generated description
DN is a UK postcode area covering Doncaster and surrounding parts of South Yorkshire and Lincolnshire, including North East Lincolnshire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DN
Target entity description: DN is a UK postcode area covering Doncaster and surrounding parts of South Yorkshire and Lincolnshire, including North East Lincolnshire.
  • A. DN
    DN is the official vehicle registration code used for the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
  • B. DEN
    DEN is the three-letter IATA airport code for Denver International Airport, the primary commercial airport serving Denver, Colorado.
  • C. ND
    ND is the official two-letter United States Postal Service abbreviation for the state of North Dakota.
  • D. DM
    DM is the commonly used abbreviation for the Deutsche Mark, the former official currency of West Germany and later unified Germany before the adoption of the euro.
  • E. DM
    DM is the abbreviated name commonly used for the Department of Management in an academic or organizational context.
  • 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb4ff7b08190b72edb6a2bc5fd19 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbd341a88190ae0f5eb94a6fdc92 completed March 10, 2026, 6:36 a.m.
NEDg Description generation batch_69afbd8563248190af593099ecae84ee completed March 10, 2026, 6:43 a.m.
NED2 Entity disambiguation (via description) batch_69afbdb28a708190bbd4bc6632b8e137 completed March 10, 2026, 6:44 a.m.
Created at: March 6, 2026, 9:56 p.m.