Triple

T19155844
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Social Policy of Ukraine E468924 entity
Predicate abbreviation P43 FINISHED
Object MSPU
MSPU is the commonly used acronym for Ukraine’s Ministry of Social Policy, the government body responsible for social welfare and labor policy.
 E1361761 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: MSPU | Statement: [Ministry of Social Policy of Ukraine, abbreviation, MSPU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MSPU
Context triple: [Ministry of Social Policy of Ukraine, abbreviation, MSPU]
  • A. MSP
    MSP is the primary statewide law enforcement agency responsible for highway patrol, criminal investigations, and public safety across the Commonwealth of Massachusetts.
  • B. MSP
    MSP is the primary statewide law enforcement agency responsible for highway patrol, criminal investigations, and public safety in Maryland.
  • C. MSP
    MSP is the primary international airport serving the Minneapolis–Saint Paul metropolitan area in Minnesota, USA.
  • D. MSP
    MSP was the Turkish Islamist political party known as the National Salvation Party, active primarily in the 1970s.
  • E. MSP
    MSP is the statewide law enforcement agency responsible for policing, public safety, and emergency response across the state of Michigan.
  • 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: MSPU
Triple: [Ministry of Social Policy of Ukraine, abbreviation, MSPU]
Generated description
MSPU is the commonly used acronym for Ukraine’s Ministry of Social Policy, the government body responsible for social welfare and labor policy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MSPU
Target entity description: MSPU is the commonly used acronym for Ukraine’s Ministry of Social Policy, the government body responsible for social welfare and labor policy.
  • A. MSP
    MSP is the primary statewide law enforcement agency responsible for highway patrol, criminal investigations, and public safety across the Commonwealth of Massachusetts.
  • B. MSP
    MSP is the primary statewide law enforcement agency responsible for highway patrol, criminal investigations, and public safety in Maryland.
  • C. MSP
    MSP is the primary international airport serving the Minneapolis–Saint Paul metropolitan area in Minnesota, USA.
  • D. MSP
    MSP was the Turkish Islamist political party known as the National Salvation Party, active primarily in the 1970s.
  • E. MSP
    MSP is the statewide law enforcement agency responsible for policing, public safety, and emergency response across the state of Michigan.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5eeb914248190a92dc5f30cbc8fcc completed April 20, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f258c5a0819084921b6e44bf1b34 completed May 15, 2026, 10:15 a.m.
NEDg Description generation batch_6a06f41269748190b6fa6301d8eb4f4f completed May 15, 2026, 10:23 a.m.
NED2 Entity disambiguation (via description) batch_6a06f4da6b04819084dab89e9b3c5d3e completed May 15, 2026, 10:26 a.m.
Created at: April 10, 2026, 12:06 p.m.