Triple
T3629729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polytechnic Institute of Coimbra |
E76924
|
entity |
| Predicate | regulatoryBody |
P86
|
FINISHED |
| Object |
Portuguese Ministry of Science, Technology and Higher Education
The Portuguese Ministry of Science, Technology and Higher Education is a government department responsible for formulating and implementing national policies in scientific research, technological development, and the higher education system in Portugal.
|
E374560
|
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: Portuguese Ministry of Science, Technology and Higher Education | Statement: [Polytechnic Institute of Coimbra, regulatoryBody, Portuguese Ministry of Science, Technology and Higher Education]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Portuguese Ministry of Science, Technology and Higher Education Context triple: [Polytechnic Institute of Coimbra, regulatoryBody, Portuguese Ministry of Science, Technology and Higher Education]
-
A.
Academia das Ciências de Lisboa
Academia das Ciências de Lisboa is Portugal’s national academy of sciences, a scholarly institution that plays a central role in promoting scientific research and overseeing linguistic and cultural standards.
-
B.
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.
-
C.
Polytechnic Institute of Coimbra
The Polytechnic Institute of Coimbra is a Portuguese public higher education institution comprising several specialized schools that offer a wide range of technical and professional degree programs.
-
D.
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.
-
E.
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.
- 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: Portuguese Ministry of Science, Technology and Higher Education Triple: [Polytechnic Institute of Coimbra, regulatoryBody, Portuguese Ministry of Science, Technology and Higher Education]
Generated description
The Portuguese Ministry of Science, Technology and Higher Education is a government department responsible for formulating and implementing national policies in scientific research, technological development, and the higher education system in Portugal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Portuguese Ministry of Science, Technology and Higher Education Target entity description: The Portuguese Ministry of Science, Technology and Higher Education is a government department responsible for formulating and implementing national policies in scientific research, technological development, and the higher education system in Portugal.
-
A.
Academia das Ciências de Lisboa
Academia das Ciências de Lisboa is Portugal’s national academy of sciences, a scholarly institution that plays a central role in promoting scientific research and overseeing linguistic and cultural standards.
-
B.
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.
-
C.
Polytechnic Institute of Coimbra
The Polytechnic Institute of Coimbra is a Portuguese public higher education institution comprising several specialized schools that offer a wide range of technical and professional degree programs.
-
D.
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.
-
E.
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.
- 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_69ad85dc03948190b35b7189e4175bcc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc300223881909019982ebf194f78 |
completed | March 8, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b43328931881908bd92cb32a366e93 |
completed | March 13, 2026, 3:54 p.m. |
| NEDg | Description generation | batch_69b433a037588190a0629defe365515d |
completed | March 13, 2026, 3:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b437493384819084a7213fe754526b |
completed | March 13, 2026, 4:11 p.m. |
Created at: March 8, 2026, 3:23 p.m.