Triple
T12312352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidente Prudente |
E293510
|
entity |
| Predicate | hasHigherEducationInstitution |
P113
|
FINISHED |
| Object |
Faculdade de Ciências e Tecnologia da UNESP Presidente Prudente
Faculdade de Ciências e Tecnologia da UNESP Presidente Prudente is a campus of São Paulo State University (UNESP) specializing in science and technology education and research in the city of Presidente Prudente, Brazil.
|
E974335
|
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: Faculdade de Ciências e Tecnologia da UNESP Presidente Prudente | Statement: [Presidente Prudente, hasHigherEducationInstitution, Faculdade de Ciências e Tecnologia da UNESP Presidente Prudente]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faculdade de Ciências e Tecnologia da UNESP Presidente Prudente Context triple: [Presidente Prudente, hasHigherEducationInstitution, Faculdade de Ciências e Tecnologia da UNESP Presidente Prudente]
-
A.
Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa
Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa is a leading Portuguese engineering and science school of NOVA University Lisbon, known for its strong research output and innovative academic programs.
-
B.
Faculty of Sciences, Engineering and Technology
The Faculty of Sciences, Engineering and Technology is a major academic division of the University of Adelaide that integrates scientific, engineering, and technological disciplines in teaching and research.
-
C.
Faculty of Sciences and Technology
The Faculty of Sciences and Technology is an academic division of the University of Algarve specializing in education and research in scientific and technological disciplines.
-
D.
Faculty of Sciences and Technology
The Faculty of Sciences and Technology is an academic division of the University of Poitiers dedicated to education and research in scientific and technological disciplines.
-
E.
Faculty of Sciences and Technology
The Faculty of Sciences and Technology is an academic division of Moulay Ismail University specializing in higher education and research in scientific and technological disciplines.
- 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: Faculdade de Ciências e Tecnologia da UNESP Presidente Prudente Triple: [Presidente Prudente, hasHigherEducationInstitution, Faculdade de Ciências e Tecnologia da UNESP Presidente Prudente]
Generated description
Faculdade de Ciências e Tecnologia da UNESP Presidente Prudente is a campus of São Paulo State University (UNESP) specializing in science and technology education and research in the city of Presidente Prudente, Brazil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Faculdade de Ciências e Tecnologia da UNESP Presidente Prudente Target entity description: Faculdade de Ciências e Tecnologia da UNESP Presidente Prudente is a campus of São Paulo State University (UNESP) specializing in science and technology education and research in the city of Presidente Prudente, Brazil.
-
A.
Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa
Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa is a leading Portuguese engineering and science school of NOVA University Lisbon, known for its strong research output and innovative academic programs.
-
B.
Faculty of Sciences, Engineering and Technology
The Faculty of Sciences, Engineering and Technology is a major academic division of the University of Adelaide that integrates scientific, engineering, and technological disciplines in teaching and research.
-
C.
Faculty of Sciences and Technology
The Faculty of Sciences and Technology is an academic division of the University of Algarve specializing in education and research in scientific and technological disciplines.
-
D.
Faculty of Sciences and Technology
The Faculty of Sciences and Technology is an academic division of Moulay Ismail University specializing in higher education and research in scientific and technological disciplines.
-
E.
Faculty of Sciences and Technology
The Faculty of Sciences and Technology is an academic division of the University of Poitiers dedicated to education and research in scientific and technological disciplines.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f03d3c88190baedffb83465bff8 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e84fa708190854afc6afd425fd7 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f61f5d746c8190b5b0edfc4832bc6c |
completed | May 2, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6203ef5008190af9103460b096cff |
completed | May 2, 2026, 4:03 p.m. |
Created at: April 8, 2026, 9:53 p.m.