Triple

T11755919
Position Surface form Disambiguated ID Type / Status
Subject Academia Sinica E279523 entity
Predicate governingBodyOf P479 FINISHED
Object Institute of Biomedical Sciences, Academia Sinica
The Institute of Biomedical Sciences, Academia Sinica is a leading Taiwanese research institute dedicated to advancing fundamental and translational biomedical research under the national academy Academia Sinica.
E945363 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 Biomedical Sciences, Academia Sinica | Statement: [Academia Sinica, governingBodyOf, Institute of Biomedical Sciences, Academia Sinica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Institute of Biomedical Sciences, Academia Sinica
Context triple: [Academia Sinica, governingBodyOf, Institute of Biomedical Sciences, Academia Sinica]
  • A. Institute of Molecular Biology, Academia Sinica
    The Institute of Molecular Biology, Academia Sinica is a leading research institute in Taiwan dedicated to fundamental and interdisciplinary studies in molecular and cellular biology.
  • B. Institute of Biomedical Research
    The Institute of Biomedical Research is a leading Mexican scientific center dedicated to advancing biomedical knowledge and health-related research as part of the National Autonomous University of Mexico.
  • C. Institute of Biophysics
    The Institute of Biophysics is a research institute in Szeged, Hungary, focused on studying the physical principles underlying biological systems as part of the Szeged Biological Research Centre.
  • D. Institute of Biosciences
    The Institute of Biosciences is a major academic and research unit of the University of São Paulo dedicated to biological sciences, including areas such as genetics, ecology, botany, and zoology.
  • E. Institute of Biosciences
    The Institute of Biosciences is an academic unit of the Federal University of Rio Grande do Sul in Brazil dedicated to education and research in biological and life sciences.
  • 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 Biomedical Sciences, Academia Sinica
Triple: [Academia Sinica, governingBodyOf, Institute of Biomedical Sciences, Academia Sinica]
Generated description
The Institute of Biomedical Sciences, Academia Sinica is a leading Taiwanese research institute dedicated to advancing fundamental and translational biomedical research under the national academy Academia Sinica.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Institute of Biomedical Sciences, Academia Sinica
Target entity description: The Institute of Biomedical Sciences, Academia Sinica is a leading Taiwanese research institute dedicated to advancing fundamental and translational biomedical research under the national academy Academia Sinica.
  • A. Institute of Molecular Biology, Academia Sinica
    The Institute of Molecular Biology, Academia Sinica is a leading research institute in Taiwan dedicated to fundamental and interdisciplinary studies in molecular and cellular biology.
  • B. Institute of Biomedical Research
    The Institute of Biomedical Research is a leading Mexican scientific center dedicated to advancing biomedical knowledge and health-related research as part of the National Autonomous University of Mexico.
  • C. Institute of Biophysics
    The Institute of Biophysics is a research institute in Szeged, Hungary, focused on studying the physical principles underlying biological systems as part of the Szeged Biological Research Centre.
  • D. Institute of Biosciences
    The Institute of Biosciences is a major academic and research unit of the University of São Paulo dedicated to biological sciences, including areas such as genetics, ecology, botany, and zoology.
  • E. Institute of Biosciences
    The Institute of Biosciences is an academic unit of the Federal University of Rio Grande do Sul in Brazil dedicated to education and research in biological and life sciences.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a50c8d708190ad79ecb57b715d04 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f090416334819084dc63d896c0c04a completed April 28, 2026, 10:47 a.m.
NEDg Description generation batch_69f0bd36673881908530b68e496c3d2e completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0eec1f5d081908624fe2a93995fe5 completed April 28, 2026, 5:30 p.m.
Created at: April 8, 2026, 9:41 p.m.