Triple

T6337498
Position Surface form Disambiguated ID Type / Status
Subject University Hospital Bonn E142527 entity
Predicate shortName P43 FINISHED
Object UKB
UKB is the abbreviation commonly used for University Hospital Bonn, a major academic medical center in Bonn, Germany.
 E586800 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: UKB | Statement: [University Hospital Bonn, shortName, UKB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UKB
Context triple: [University Hospital Bonn, shortName, UKB]
  • A. UKB
    UKB is the IATA airport code for Kobe Airport, a regional airport serving the city of Kobe in Japan.
  • B. 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.
  • C. UKBB
    UKBB is the ICAO airport code designating Boryspil International Airport, the main international gateway serving Kyiv, Ukraine.
  • D. NKGB
    NKGB was a Soviet state security and intelligence agency that operated before the formation of the KGB, handling internal security, counterintelligence, and secret police functions.
  • E. UKBA
    UKBA is the acronym for the former UK Border Agency, the government body that was responsible for border control and immigration enforcement in the 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: UKB
Triple: [University Hospital Bonn, shortName, UKB]
Generated description
UKB is the abbreviation commonly used for University Hospital Bonn, a major academic medical center in Bonn, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UKB
Target entity description: UKB is the abbreviation commonly used for University Hospital Bonn, a major academic medical center in Bonn, Germany.
  • A. UKB
    UKB is the IATA airport code for Kobe Airport, a regional airport serving the city of Kobe in Japan.
  • B. 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.
  • C. UKBB
    UKBB is the ICAO airport code designating Boryspil International Airport, the main international gateway serving Kyiv, Ukraine.
  • D. NKGB
    NKGB was a Soviet state security and intelligence agency that operated before the formation of the KGB, handling internal security, counterintelligence, and secret police functions.
  • E. UKBA
    UKBA is the acronym for the former UK Border Agency, the government body that was responsible for border control and immigration enforcement in the 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_69c008d4d8e88190ad301c05b08722ac completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0654e11988190b708426d3003716a completed March 22, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c604307b388190bbc59f5f57cb4bbe completed March 27, 2026, 4:14 a.m.
NEDg Description generation batch_69c606cb4d3c8190b8200ee8284cf1e7 completed March 27, 2026, 4:25 a.m.
NED2 Entity disambiguation (via description) batch_69c60741e7388190a8194d168a769cfd completed March 27, 2026, 4:27 a.m.
Created at: March 22, 2026, 4:30 p.m.