Triple
T21712694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Czech Academy of Sciences |
E535943
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences
The Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences is a leading Czech research institute renowned for its work in organic chemistry, biochemistry, and related biomedical sciences, including notable contributions to antiviral drug development.
|
E535943
|
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: Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences | Statement: [Czech Academy of Sciences, hasPart, Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences Context triple: [Czech Academy of Sciences, hasPart, Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences]
-
A.
Czech Academy of Sciences
The Czech Academy of Sciences is the leading public research institution in the Czech Republic, encompassing a network of institutes that conduct fundamental and applied research across the natural, technical, and social sciences and humanities.
-
B.
Czechoslovak Academy of Sciences
The Czechoslovak Academy of Sciences was the principal state-sponsored scientific institution of former Czechoslovakia, overseeing research across a wide range of disciplines and coordinating the country’s leading scholars and research institutes.
-
C.
Institute of Biochemistry and Biophysics
The Institute of Biochemistry and Biophysics is a major Iranian research center specializing in molecular biology, biochemistry, and related life sciences.
-
D.
Central European Institute of Technology (CEITEC MU)
Central European Institute of Technology (CEITEC MU) is a major research center at Masaryk University in Brno, Czech Republic, focused on cutting-edge life sciences, advanced materials, and nanotechnologies.
-
E.
University of Chemistry and Technology, Prague
The University of Chemistry and Technology, Prague is a leading Czech public university specializing in chemical, biochemical, materials, and environmental sciences and engineering.
- 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: Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences Triple: [Czech Academy of Sciences, hasPart, Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences]
Generated description
The Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences is a leading Czech research institute renowned for its work in organic chemistry, biochemistry, and related biomedical sciences, including notable contributions to antiviral drug development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences Target entity description: The Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences is a leading Czech research institute renowned for its work in organic chemistry, biochemistry, and related biomedical sciences, including notable contributions to antiviral drug development.
-
A.
Czech Academy of Sciences
chosen
The Czech Academy of Sciences is the leading public research institution in the Czech Republic, encompassing a network of institutes that conduct fundamental and applied research across the natural, technical, and social sciences and humanities.
-
B.
Czechoslovak Academy of Sciences
The Czechoslovak Academy of Sciences was the principal state-sponsored scientific institution of former Czechoslovakia, overseeing research across a wide range of disciplines and coordinating the country’s leading scholars and research institutes.
-
C.
Institute of Biochemistry and Biophysics
The Institute of Biochemistry and Biophysics is a major Iranian research center specializing in molecular biology, biochemistry, and related life sciences.
-
D.
Central European Institute of Technology (CEITEC MU)
Central European Institute of Technology (CEITEC MU) is a major research center at Masaryk University in Brno, Czech Republic, focused on cutting-edge life sciences, advanced materials, and nanotechnologies.
-
E.
University of Chemistry and Technology, Prague
The University of Chemistry and Technology, Prague is a leading Czech public university specializing in chemical, biochemical, materials, and environmental sciences and engineering.
- F. None of above.
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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb53573a08190ad73576d27e8094f |
completed | April 27, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a24b180bc8190bef4daaab7de794d |
completed | May 17, 2026, 8:27 p.m. |
| NEDg | Description generation | batch_6a0a261cdb788190b06939c4786e41ce |
completed | May 17, 2026, 8:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a267dec7881908b5cb9d9a83f97c4 |
completed | May 17, 2026, 8:35 p.m. |
Created at: April 16, 2026, 6:46 p.m.