Triple
T611168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coimbra |
E12101
|
entity |
| Predicate | heritageStatus |
P923
|
FINISHED |
| Object |
UNESCO World Heritage Site (University of Coimbra – Alta and Sofia)
The UNESCO World Heritage Site "University of Coimbra – Alta and Sofia" encompasses the historic core of one of Europe’s oldest universities in Coimbra, Portugal, renowned for its centuries-old academic traditions, baroque library, and significant role in Portuguese culture and education.
|
E76437
|
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: UNESCO World Heritage Site (University of Coimbra – Alta and Sofia) | Statement: [Coimbra, heritageStatus, UNESCO World Heritage Site (University of Coimbra – Alta and Sofia)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UNESCO World Heritage Site (University of Coimbra – Alta and Sofia) Context triple: [Coimbra, heritageStatus, UNESCO World Heritage Site (University of Coimbra – Alta and Sofia)]
-
A.
Coimbra Group
The Coimbra Group is an association of long-established, high-ranking European universities dedicated to academic collaboration, research excellence, and cultural exchange.
-
B.
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.
-
C.
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.
-
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.
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: UNESCO World Heritage Site (University of Coimbra – Alta and Sofia) Triple: [Coimbra, heritageStatus, UNESCO World Heritage Site (University of Coimbra – Alta and Sofia)]
Generated description
The UNESCO World Heritage Site "University of Coimbra – Alta and Sofia" encompasses the historic core of one of Europe’s oldest universities in Coimbra, Portugal, renowned for its centuries-old academic traditions, baroque library, and significant role in Portuguese culture and education.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UNESCO World Heritage Site (University of Coimbra – Alta and Sofia) Target entity description: The UNESCO World Heritage Site "University of Coimbra – Alta and Sofia" encompasses the historic core of one of Europe’s oldest universities in Coimbra, Portugal, renowned for its centuries-old academic traditions, baroque library, and significant role in Portuguese culture and education.
-
A.
Coimbra Group
The Coimbra Group is an association of long-established, high-ranking European universities dedicated to academic collaboration, research excellence, and cultural exchange.
-
B.
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.
-
C.
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.
-
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.
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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49df7c088819082eb70de4f0f4fbf |
completed | March 1, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a52eacec94819094e920ab1c0659e8 |
completed | March 2, 2026, 6:31 a.m. |
| NEDg | Description generation | batch_69a53062c138819095262b45396fc97a |
completed | March 2, 2026, 6:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a530f8c6b08190b987016e8e8c11b6 |
completed | March 2, 2026, 6:40 a.m. |
Created at: March 1, 2026, 7:35 p.m.