Triple

T206354
Position Surface form Disambiguated ID Type / Status
Subject Madrid E4617 entity
Predicate hasUniversity P113 FINISHED
Object Complutense University of Madrid
Complutense University of Madrid is one of Spain’s oldest and largest public universities, renowned for its broad range of academic programs and significant influence on Spanish intellectual and cultural life.
E26547 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: Complutense University of Madrid | Statement: [Madrid, hasUniversity, Complutense University of Madrid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Complutense University of Madrid
Context triple: [Madrid, hasUniversity, Complutense University of Madrid]
  • A. University of Havana
    The University of Havana is Cuba’s oldest and most prestigious higher education institution, renowned for its historic campus and central role in the country’s intellectual and political life.
  • B. University of Lisbon
    The University of Lisbon is Portugal’s largest and one of its oldest public universities, renowned for its broad range of academic programs and major role in the country’s research and cultural life.
  • C. University of Chile
    The University of Chile is a leading public research university in Santiago and one of the oldest and most prestigious higher education institutions in Chile and Latin America.
  • D. University of the Andes (Bogotá)
    The University of the Andes (Bogotá) is a prestigious private research university in Colombia known for its rigorous academic programs and significant influence on the country’s intellectual and political life.
  • E. NOVA University Lisbon
    NOVA University Lisbon is a leading Portuguese public research university known for its innovative teaching, strong international orientation, and multidisciplinary programs across fields such as science, technology, social sciences, and humanities.
  • 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: Complutense University of Madrid
Triple: [Madrid, hasUniversity, Complutense University of Madrid]
Generated description
Complutense University of Madrid is one of Spain’s oldest and largest public universities, renowned for its broad range of academic programs and significant influence on Spanish intellectual and cultural life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Complutense University of Madrid
Target entity description: Complutense University of Madrid is one of Spain’s oldest and largest public universities, renowned for its broad range of academic programs and significant influence on Spanish intellectual and cultural life.
  • A. University of Havana
    The University of Havana is Cuba’s oldest and most prestigious higher education institution, renowned for its historic campus and central role in the country’s intellectual and political life.
  • B. University of Lisbon
    The University of Lisbon is Portugal’s largest and one of its oldest public universities, renowned for its broad range of academic programs and major role in the country’s research and cultural life.
  • C. University of Chile
    The University of Chile is a leading public research university in Santiago and one of the oldest and most prestigious higher education institutions in Chile and Latin America.
  • D. University of the Andes (Bogotá)
    The University of the Andes (Bogotá) is a prestigious private research university in Colombia known for its rigorous academic programs and significant influence on the country’s intellectual and political life.
  • E. NOVA University Lisbon
    NOVA University Lisbon is a leading Portuguese public research university known for its innovative teaching, strong international orientation, and multidisciplinary programs across fields such as science, technology, social sciences, and humanities.
  • 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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c0601bc81909a268ca9e751d5bb completed Feb. 28, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69a32f29799c8190a445a231006bf436 completed Feb. 28, 2026, 6:08 p.m.
NEDg Description generation batch_69a32f866fd4819097e93255723602cc completed Feb. 28, 2026, 6:10 p.m.
NED2 Entity disambiguation (via description) batch_69a32fe4faf88190a3637cbfc768522e completed Feb. 28, 2026, 6:11 p.m.
Created at: Feb. 28, 2026, 2:51 a.m.