Triple

T10184189
Position Surface form Disambiguated ID Type / Status
Subject Secretariat of State for Defence (Spain) E236865 entity
Predicate oversees P46 FINISHED
Object Centre for Systems and Technologies of Information and Communications of Spain
The Centre for Systems and Technologies of Information and Communications of Spain is a Spanish government body responsible for developing, managing, and securing the Ministry of Defence’s information and communications systems and technologies.
E846519 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: Centre for Systems and Technologies of Information and Communications of Spain | Statement: [Secretariat of State for Defence (Spain), oversees, Centre for Systems and Technologies of Information and Communications of Spain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Centre for Systems and Technologies of Information and Communications of Spain
Context triple: [Secretariat of State for Defence (Spain), oversees, Centre for Systems and Technologies of Information and Communications of Spain]
  • A. Spanish Ministry of Science and Innovation
    The Spanish Ministry of Science and Innovation is the national government department responsible for designing and implementing Spain’s policies on scientific research, technological development, and innovation.
  • B. Spanish National Research Council (CSIC)
    The Spanish National Research Council (CSIC) is Spain’s largest public research institution, encompassing a wide network of centers and scientists across disciplines ranging from natural sciences and engineering to social sciences and humanities.
  • C. Canary Islands Technological Institute
    The Canary Islands Technological Institute is a Spanish public research and innovation center focused on renewable energy, sustainable technologies, and environmental engineering in the Canary Islands.
  • D. CSIC
    CSIC is a research center at the University of Cambridge focused on advancing smart infrastructure and construction through innovative sensing, data, and engineering technologies.
  • E. UC3M
    UC3M is the commonly used abbreviation for Charles III University of Madrid, a public research university in Spain known for its strong programs in engineering, social sciences, and law.
  • 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: Centre for Systems and Technologies of Information and Communications of Spain
Triple: [Secretariat of State for Defence (Spain), oversees, Centre for Systems and Technologies of Information and Communications of Spain]
Generated description
The Centre for Systems and Technologies of Information and Communications of Spain is a Spanish government body responsible for developing, managing, and securing the Ministry of Defence’s information and communications systems and technologies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Centre for Systems and Technologies of Information and Communications of Spain
Target entity description: The Centre for Systems and Technologies of Information and Communications of Spain is a Spanish government body responsible for developing, managing, and securing the Ministry of Defence’s information and communications systems and technologies.
  • A. Spanish Ministry of Science and Innovation
    The Spanish Ministry of Science and Innovation is the national government department responsible for designing and implementing Spain’s policies on scientific research, technological development, and innovation.
  • B. Spanish National Research Council (CSIC)
    The Spanish National Research Council (CSIC) is Spain’s largest public research institution, encompassing a wide network of centers and scientists across disciplines ranging from natural sciences and engineering to social sciences and humanities.
  • C. Canary Islands Technological Institute
    The Canary Islands Technological Institute is a Spanish public research and innovation center focused on renewable energy, sustainable technologies, and environmental engineering in the Canary Islands.
  • D. CSIC
    CSIC is a research center at the University of Cambridge focused on advancing smart infrastructure and construction through innovative sensing, data, and engineering technologies.
  • E. UC3M
    UC3M is the commonly used abbreviation for Charles III University of Madrid, a public research university in Spain known for its strong programs in engineering, social sciences, and law.
  • 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_69ca84d7260c8190bfbec36762943f37 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded3566f881909e0d1366f501d554 completed April 2, 2026, 4:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3179b9de88190ba3beb7d6dbf7ad3 completed April 6, 2026, 2:16 a.m.
NEDg Description generation batch_69d318d099648190a42fffec876711dd completed April 6, 2026, 2:22 a.m.
NED2 Entity disambiguation (via description) batch_69d3194331c481909b8ef2dead8ed105 completed April 6, 2026, 2:24 a.m.
Created at: March 30, 2026, 9:12 p.m.