Triple

T649517
Position Surface form Disambiguated ID Type / Status
Subject Leonardo S.p.A. E11314 entity
Predicate hasSubsidiary P254 FINISHED
Object Leonardo DRS
Leonardo DRS is a U.S.-based defense and technology company that provides advanced military electronics, integrated systems, and support services to armed forces and government customers.
 E81224 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: Leonardo DRS | Statement: [Leonardo S.p.A., hasSubsidiary, Leonardo DRS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leonardo DRS
Context triple: [Leonardo S.p.A., hasSubsidiary, Leonardo DRS]
  • A. Leonardo
    Leonardo is the first name of Leonardo DiCaprio, the acclaimed American actor and environmental activist known for films such as Titanic and Inception.
  • B. Nexus
    Nexus is the original World Wide Web browser and editor created by Tim Berners-Lee, later renamed from its initial title "WorldWideWeb."
  • C. Trident
    Trident is Microsoft's proprietary web browser layout engine that powered Internet Explorer for rendering HTML and web content.
  • D. Dynamo
    Dynamo is a prominent Russian sports club based in Moscow, best known for its professional football and ice hockey teams.
  • E. Meraki
    Meraki is a cloud-managed IT company known for its wireless, switching, security, and device management solutions, acquired by and operating as a subsidiary of Cisco.
  • 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: Leonardo DRS
Triple: [Leonardo S.p.A., hasSubsidiary, Leonardo DRS]
Generated description
Leonardo DRS is a U.S.-based defense and technology company that provides advanced military electronics, integrated systems, and support services to armed forces and government customers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leonardo DRS
Target entity description: Leonardo DRS is a U.S.-based defense and technology company that provides advanced military electronics, integrated systems, and support services to armed forces and government customers.
  • A. Leonardo
    Leonardo is the first name of Leonardo DiCaprio, the acclaimed American actor and environmental activist known for films such as Titanic and Inception.
  • B. Nexus
    Nexus is the original World Wide Web browser and editor created by Tim Berners-Lee, later renamed from its initial title "WorldWideWeb."
  • C. Trident
    Trident is Microsoft's proprietary web browser layout engine that powered Internet Explorer for rendering HTML and web content.
  • D. Dynamo
    Dynamo is a prominent Russian sports club based in Moscow, best known for its professional football and ice hockey teams.
  • E. Meraki
    Meraki is a cloud-managed IT company known for its wireless, switching, security, and device management solutions, acquired by and operating as a subsidiary of Cisco.
  • 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f31e70c81909a2ac1d939f7ec07 completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a58039191481908b11bfadb36f0c13 completed March 2, 2026, 12:19 p.m.
NEDg Description generation batch_69a5826e8b4081908523f552045e4e91 completed March 2, 2026, 12:28 p.m.
NED2 Entity disambiguation (via description) batch_69a583113320819080feea6882d3bff5 completed March 2, 2026, 12:31 p.m.
Created at: March 1, 2026, 7:36 p.m.