Triple

T15222967
Position Surface form Disambiguated ID Type / Status
Subject EMBO Molecular Medicine E363805 entity
Predicate isIndexedIn P6000 FINISHED
Object Scopus E16219 NE FINISHED

How this triple was built (2 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: Scopus | Statement: [EMBO Molecular Medicine, isIndexedIn, Scopus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scopus
Context triple: [EMBO Molecular Medicine, isIndexedIn, Scopus]
  • A. Scopus chosen
    Scopus is a large abstract and citation database of peer-reviewed literature covering scientific, technical, medical, and social science research.
  • B. Web of Science
    Web of Science is a major multidisciplinary citation indexing and abstracting database widely used for academic research and bibliometric analysis.
  • C. Ei Compendex
    Ei Compendex is a comprehensive engineering literature database that indexes scientific and technical research publications across a wide range of engineering disciplines.
  • D. SCImago Research Group
    SCImago Research Group is an academic research organization best known for creating bibliometric indicators and journal rankings that analyze and visualize scientific output and impact worldwide.
  • E. SciVal
    SciVal is an Elsevier analytics platform that provides research performance metrics and benchmarking tools for institutions, researchers, and policymakers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0078a9318819081db3b7bcc28e04f completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5ebb8d48190b4afc540da8e6a4b completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:12 a.m.