Triple

T11232982
Position Surface form Disambiguated ID Type / Status
Subject Aberdeen City council area E265872 entity
Predicate hasNUTSCode P2415 FINISHED
Object UKM50
UKM50 is the NUTS statistical region code assigned to the Aberdeen City council area in Scotland.
 E913005 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: UKM50 | Statement: [Aberdeen City council area, hasNUTSCode, UKM50]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UKM50
Context triple: [Aberdeen City council area, hasNUTSCode, UKM50]
  • A. UKM
    UKM is a major Malaysian public research university known in English as the National University of Malaysia.
  • B. UKM Kuala Lumpur campus
    UKM Kuala Lumpur campus is an urban branch of Universiti Kebangsaan Malaysia that hosts various academic, research, and professional programs in Malaysia’s capital city.
  • C. UGM
    UGM is a leading public research university in Yogyakarta, Indonesia, renowned as one of the country’s oldest and most prestigious institutions of higher education.
  • D. 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.
  • E. KBKL
    KBKL is the ICAO airport code for Burke Lakefront Airport, a public airport located on the shore of Lake Erie in Cleveland, Ohio.
  • 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: UKM50
Triple: [Aberdeen City council area, hasNUTSCode, UKM50]
Generated description
UKM50 is the NUTS statistical region code assigned to the Aberdeen City council area in Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UKM50
Target entity description: UKM50 is the NUTS statistical region code assigned to the Aberdeen City council area in Scotland.
  • A. UKM
    UKM is a major Malaysian public research university known in English as the National University of Malaysia.
  • B. UKM Kuala Lumpur campus
    UKM Kuala Lumpur campus is an urban branch of Universiti Kebangsaan Malaysia that hosts various academic, research, and professional programs in Malaysia’s capital city.
  • C. UGM
    UGM is a leading public research university in Yogyakarta, Indonesia, renowned as one of the country’s oldest and most prestigious institutions of higher education.
  • D. 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.
  • E. KBKL
    KBKL is the ICAO airport code for Burke Lakefront Airport, a public airport located on the shore of Lake Erie in Cleveland, Ohio.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9026e1c81909456ac946bbba972 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad49b5cc8190b99cb2cd8de72109 completed April 19, 2026, 10:24 a.m.
NEDg Description generation batch_69e4b12dd658819085c25d3edac2d66c completed April 19, 2026, 10:40 a.m.
NED2 Entity disambiguation (via description) batch_69e4b3d23b18819096f3a11aecc732bd completed April 19, 2026, 10:52 a.m.
Created at: April 8, 2026, 9:30 p.m.