Triple
T11398174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cidade Universitária Armando de Salles Oliveira |
E270033
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Hospital Universitário da Universidade de São Paulo
Hospital Universitário da Universidade de São Paulo is a major teaching and research hospital affiliated with the University of São Paulo, providing medical care, clinical training, and academic support within the university community.
|
E923622
|
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: Hospital Universitário da Universidade de São Paulo | Statement: [Cidade Universitária Armando de Salles Oliveira, hasPart, Hospital Universitário da Universidade de São Paulo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hospital Universitário da Universidade de São Paulo Context triple: [Cidade Universitária Armando de Salles Oliveira, hasPart, Hospital Universitário da Universidade de São Paulo]
-
A.
Hospital das Clínicas de Ribeirão Preto
Hospital das Clínicas de Ribeirão Preto is a major public teaching and referral hospital in Brazil, affiliated with the University of São Paulo and recognized for its advanced medical care, research, and training.
-
B.
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.
-
C.
University of São Paulo
The University of São Paulo is Brazil’s largest and one of Latin America’s most prestigious public research universities, renowned for its strong academic programs and significant scientific output.
-
D.
Hospital Santa Catarina
Hospital Santa Catarina is a traditional and well-known medical institution in São Paulo, Brazil, recognized for providing comprehensive healthcare services.
-
E.
Hospital de Clínicas José de San Martín
Hospital de Clínicas José de San Martín is a major teaching and research hospital in Buenos Aires, Argentina, affiliated with the University of Buenos Aires and known for providing high-complexity medical care.
- 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: Hospital Universitário da Universidade de São Paulo Triple: [Cidade Universitária Armando de Salles Oliveira, hasPart, Hospital Universitário da Universidade de São Paulo]
Generated description
Hospital Universitário da Universidade de São Paulo is a major teaching and research hospital affiliated with the University of São Paulo, providing medical care, clinical training, and academic support within the university community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hospital Universitário da Universidade de São Paulo Target entity description: Hospital Universitário da Universidade de São Paulo is a major teaching and research hospital affiliated with the University of São Paulo, providing medical care, clinical training, and academic support within the university community.
-
A.
Hospital das Clínicas de Ribeirão Preto
Hospital das Clínicas de Ribeirão Preto is a major public teaching and referral hospital in Brazil, affiliated with the University of São Paulo and recognized for its advanced medical care, research, and training.
-
B.
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.
-
C.
University of São Paulo
The University of São Paulo is Brazil’s largest and one of Latin America’s most prestigious public research universities, renowned for its strong academic programs and significant scientific output.
-
D.
Hospital Santa Catarina
Hospital Santa Catarina is a traditional and well-known medical institution in São Paulo, Brazil, recognized for providing comprehensive healthcare services.
-
E.
Hospital de Clínicas José de San Martín
Hospital de Clínicas José de San Martín is a major teaching and research hospital in Buenos Aires, Argentina, affiliated with the University of Buenos Aires and known for providing high-complexity medical care.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80019d3d48190a2f473deb6eae33a |
completed | April 9, 2026, 7:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58cd74280819092f8c420630f4889 |
completed | April 20, 2026, 2:17 a.m. |
| NEDg | Description generation | batch_69e59774e6648190a38b2515a83c2e0c |
completed | April 20, 2026, 3:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5a3abf24481908fb71f4ef6b13532 |
completed | April 20, 2026, 3:55 a.m. |
Created at: April 8, 2026, 9:34 p.m.