Triple
T19721470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Rodrigues dos Santos |
E473618
|
entity |
| Predicate | educatedAt |
P5
|
FINISHED |
| Object | Universidade Lusíada de Lisboa |
—
|
NE NERFINISHED |
How this triple was built (3 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: Universidade Lusíada de Lisboa | Statement: [José Rodrigues dos Santos, educatedAt, Universidade Lusíada de Lisboa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Universidade Lusíada de Lisboa Context triple: [José Rodrigues dos Santos, educatedAt, Universidade Lusíada de Lisboa]
-
A.
University of Porto
The University of Porto is one of Portugal’s largest and most prestigious public universities, renowned for its research output and diverse academic programs.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
Polytechnic Institute of Leiria
The Polytechnic Institute of Leiria is a Portuguese public higher education institution offering a wide range of polytechnic degrees and applied research across several campuses in the Leiria region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Universidade Lusíada de Lisboa Target entity description: Universidade Lusíada de Lisboa is a private Portuguese university in Lisbon known for its programs in fields such as law, economics, and social sciences.
-
A.
University of Porto
The University of Porto is one of Portugal’s largest and most prestigious public universities, renowned for its research output and diverse academic programs.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
Polytechnic Institute of Leiria
The Polytechnic Institute of Leiria is a Portuguese public higher education institution offering a wide range of polytechnic degrees and applied research across several campuses in the Leiria region.
- F. None of above. chosen
Provenance (2 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649f483c481908c6b3114bf9c5934 |
completed | April 20, 2026, 3:44 p.m. |
Created at: April 10, 2026, 1:46 p.m.