Triple

T7689965
Position Surface form Disambiguated ID Type / Status
Subject Swedish Ministry for Foreign Affairs E174219 entity
Predicate abbreviation P43 FINISHED
Object UD
UD is the commonly used Swedish abbreviation for the Ministry for Foreign Affairs, the government body responsible for Sweden’s foreign policy and international relations.
 E681806 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: UD | Statement: [Swedish Ministry for Foreign Affairs, abbreviation, UD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UD
Context triple: [Swedish Ministry for Foreign Affairs, abbreviation, UD]
  • A. DU
    DU is a premier public central university in India, renowned for its diverse academic programs and large collegiate system based in New Delhi.
  • B. DU
    DU is the vehicle registration code used on license plates for the German city of Duisburg.
  • C. DU
    DU is the commonly used abbreviation for the University of Dhaka, a leading public research university in Bangladesh.
  • D. DU
    DU is the commonly used abbreviation for the University of Denver, particularly associated with its Denver Pioneers athletic programs.
  • E. UL
    UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
  • 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: UD
Triple: [Swedish Ministry for Foreign Affairs, abbreviation, UD]
Generated description
UD is the commonly used Swedish abbreviation for the Ministry for Foreign Affairs, the government body responsible for Sweden’s foreign policy and international relations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UD
Target entity description: UD is the commonly used Swedish abbreviation for the Ministry for Foreign Affairs, the government body responsible for Sweden’s foreign policy and international relations.
  • A. DU
    DU is a premier public central university in India, renowned for its diverse academic programs and large collegiate system based in New Delhi.
  • B. DU
    DU is the vehicle registration code used on license plates for the German city of Duisburg.
  • C. DU
    DU is the commonly used abbreviation for the University of Dhaka, a leading public research university in Bangladesh.
  • D. DU
    DU is the commonly used abbreviation for the University of Denver, particularly associated with its Denver Pioneers athletic programs.
  • E. UL
    UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
  • 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_69c6995966348190939e6c37ba272c06 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702421dec8190a74f8ade992ca811 completed March 27, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a26686a08190acf66586f6c7592b completed March 29, 2026, 3:54 a.m.
NEDg Description generation batch_69c8a34c93a081908ec3509c3abb3866 completed March 29, 2026, 3:58 a.m.
NED2 Entity disambiguation (via description) batch_69c8a3b4e0a88190ad525c83bd03e09f completed March 29, 2026, 3:59 a.m.
Created at: March 27, 2026, 4:02 p.m.