Triple

T154678
Position Surface form Disambiguated ID Type / Status
Subject Lisbon E3151 entity
Predicate hasUniversity P113 FINISHED
Object ISCTE – University Institute of Lisbon
ISCTE – University Institute of Lisbon is a Portuguese public university-level institution in Lisbon known for its strong programs in social sciences, management, technology, and architecture.
E19945 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: ISCTE – University Institute of Lisbon | Statement: [Lisbon, hasUniversity, ISCTE – University Institute of Lisbon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISCTE – University Institute of Lisbon
Context triple: [Lisbon, hasUniversity, ISCTE – University Institute of Lisbon]
  • A. 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.
  • B. 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.
  • C. Coimbra Group
    The Coimbra Group is an association of long-established, high-ranking European universities dedicated to academic collaboration, research excellence, and cultural exchange.
  • D. Iberoamerican University Network
    The Iberoamerican University Network is a collaborative association of higher education institutions across Ibero-America that promotes academic cooperation, research, and cultural exchange among its member universities.
  • E. 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.
  • 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: ISCTE – University Institute of Lisbon
Triple: [Lisbon, hasUniversity, ISCTE – University Institute of Lisbon]
Generated description
ISCTE – University Institute of Lisbon is a Portuguese public university-level institution in Lisbon known for its strong programs in social sciences, management, technology, and architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ISCTE – University Institute of Lisbon
Target entity description: ISCTE – University Institute of Lisbon is a Portuguese public university-level institution in Lisbon known for its strong programs in social sciences, management, technology, and architecture.
  • A. 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.
  • B. 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.
  • C. Coimbra Group
    The Coimbra Group is an association of long-established, high-ranking European universities dedicated to academic collaboration, research excellence, and cultural exchange.
  • D. Iberoamerican University Network
    The Iberoamerican University Network is a collaborative association of higher education institutions across Ibero-America that promotes academic cooperation, research, and cultural exchange among its member universities.
  • E. 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.
  • 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_69a2527757ec819090b8becb2cf1a862 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a2582d25448190931c2d785e678a8a completed Feb. 28, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2d4c9ede481909a775c64222b86d3 completed Feb. 28, 2026, 11:43 a.m.
NEDg Description generation batch_69a2d5ea9fd081908101f41ea24c5dc3 completed Feb. 28, 2026, 11:47 a.m.
NED2 Entity disambiguation (via description) batch_69a2d69979248190963777b6db137bf2 completed Feb. 28, 2026, 11:50 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.