Triple

T8131397
Position Surface form Disambiguated ID Type / Status
Subject Heckler & Koch E189859 entity
Predicate notableWork P4 FINISHED
Object UMP
The UMP is a German-made submachine gun developed by Heckler & Koch as a lighter, more modern successor to the MP5, widely used by military and law enforcement agencies.
 E715633 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: UMP | Statement: [Heckler & Koch, notableWork, UMP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UMP
Context triple: [Heckler & Koch, notableWork, UMP]
  • A. UMP
    UMP is a major French center-right political party that played a dominant role in national politics in the early 21st century, notably backing leaders such as Nicolas Sarkozy.
  • B. PUM
    PUM is the stock ticker symbol for Puma, the German multinational sportswear and athletic footwear company.
  • C. UM
    UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
  • D. UM
    UM is the regional vehicle registration code used for the district of Uckermark in the German state of Brandenburg.
  • E. UM
    UM is a public research university in Winnipeg, Canada, known as the University of Manitoba.
  • 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: UMP
Triple: [Heckler & Koch, notableWork, UMP]
Generated description
The UMP is a German-made submachine gun developed by Heckler & Koch as a lighter, more modern successor to the MP5, widely used by military and law enforcement agencies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UMP
Target entity description: The UMP is a German-made submachine gun developed by Heckler & Koch as a lighter, more modern successor to the MP5, widely used by military and law enforcement agencies.
  • A. UMP
    UMP is a major French center-right political party that played a dominant role in national politics in the early 21st century, notably backing leaders such as Nicolas Sarkozy.
  • B. PUM
    PUM is the stock ticker symbol for Puma, the German multinational sportswear and athletic footwear company.
  • C. UM
    UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
  • D. UM
    UM is the regional vehicle registration code used for the district of Uckermark in the German state of Brandenburg.
  • E. UM
    UM is a public research university in Winnipeg, Canada, known as the University of Manitoba.
  • 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_69ca82bcb4848190a9a9d036ad768642 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43b96cd481908c0679050c35d83f completed March 31, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbec8491c81908362d44c42fc8568 completed April 1, 2026, 6:44 a.m.
NEDg Description generation batch_69ccc30f1fc48190991e0caa9ea6e735 completed April 1, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69ccd7eca618819081e0c5452c8b1960 completed April 1, 2026, 8:31 a.m.
Created at: March 30, 2026, 5:34 p.m.