Triple

T3608875
Position Surface form Disambiguated ID Type / Status
Subject University of Coimbra E76435 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Medicine of the University of Coimbra
The Faculty of Medicine of the University of Coimbra is a major Portuguese medical school known for its historic legacy, clinical training, and biomedical research within one of Europe’s oldest universities.
E374189 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: Faculty of Medicine of the University of Coimbra | Statement: [University of Coimbra, hasFaculty, Faculty of Medicine of the University of Coimbra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine of the University of Coimbra
Context triple: [University of Coimbra, hasFaculty, Faculty of Medicine of the University of Coimbra]
  • A. Faculty of Medicine of the University of São Paulo
    The Faculty of Medicine of the University of São Paulo is one of Brazil’s most prestigious medical schools, renowned for its rigorous training, cutting-edge research, and major contributions to healthcare in Latin America.
  • 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 Minho
    The University of Minho is a Portuguese public university known for its strong emphasis on research, innovation, and international collaboration across a wide range of academic disciplines.
  • D. University of Algarve
    The University of Algarve is a Portuguese public university located in the southern Algarve region, known for its programs in marine sciences, tourism, and environmental studies.
  • 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: Faculty of Medicine of the University of Coimbra
Triple: [University of Coimbra, hasFaculty, Faculty of Medicine of the University of Coimbra]
Generated description
The Faculty of Medicine of the University of Coimbra is a major Portuguese medical school known for its historic legacy, clinical training, and biomedical research within one of Europe’s oldest universities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine of the University of Coimbra
Target entity description: The Faculty of Medicine of the University of Coimbra is a major Portuguese medical school known for its historic legacy, clinical training, and biomedical research within one of Europe’s oldest universities.
  • A. Faculty of Medicine of the University of São Paulo
    The Faculty of Medicine of the University of São Paulo is one of Brazil’s most prestigious medical schools, renowned for its rigorous training, cutting-edge research, and major contributions to healthcare in Latin America.
  • 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 Minho
    The University of Minho is a Portuguese public university known for its strong emphasis on research, innovation, and international collaboration across a wide range of academic disciplines.
  • D. University of Algarve
    The University of Algarve is a Portuguese public university located in the southern Algarve region, known for its programs in marine sciences, tourism, and environmental studies.
  • 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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc22a3cf081908c20b6fb55be0db2 completed March 8, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4330de7a08190933aa7e9dc0a65be completed March 13, 2026, 3:53 p.m.
NEDg Description generation batch_69b437cf839881909b1d505328285123 completed March 13, 2026, 4:14 p.m.
NED2 Entity disambiguation (via description) batch_69b43835994c81909230bbb21b12b8ef completed March 13, 2026, 4:15 p.m.
Created at: March 8, 2026, 3:22 p.m.