Triple

T768217
Position Surface form Disambiguated ID Type / Status
Subject Scopus E16219 entity
Predicate website P69 FINISHED
Object https://www.scopus.com/ 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: https://www.scopus.com/ | Statement: [Scopus, website, https://www.scopus.com/]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: https://www.scopus.com/
Context triple: [Scopus, website, https://www.scopus.com/]
  • 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. Google Scholar
    Google Scholar is a freely accessible academic search engine that indexes scholarly literature across many disciplines and formats, helping researchers find articles, theses, books, conference papers, and more.
  • D. Directory of Open Access Journals
    The Directory of Open Access Journals (DOAJ) is an online index that curates and provides access to high-quality, peer-reviewed open access scholarly journals from around the world.
  • E. Clarivate Analytics
    Clarivate Analytics is a global analytics company specializing in providing research, citation, patent, and intellectual property data and tools for academia, corporations, and governments.
  • 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_69a49369a0848190af883934cee3db4c completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a701e584819095905cf74d33e11c completed March 1, 2026, 8:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3adf1d88190acec593f0aca1ec0 completed March 4, 2026, 3:14 a.m.
Created at: March 1, 2026, 7:37 p.m.