Triple

T4021161
Position Surface form Disambiguated ID Type / Status
Subject Elsevier E91281 entity
Predicate operates P24 FINISHED
Object ScienceDirect E354983 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: ScienceDirect | Statement: [Elsevier, operates, ScienceDirect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ScienceDirect
Context triple: [Elsevier, operates, ScienceDirect]
  • A. ScienceDirect chosen
    ScienceDirect is a leading full-text scientific database providing access to a large collection of peer-reviewed journals and books across numerous disciplines.
  • B. Scopus
    Scopus is a large abstract and citation database of peer-reviewed literature covering scientific, technical, medical, and social science research.
  • C. Semantic Scholar
    Semantic Scholar is an AI-powered academic search engine that helps researchers discover and understand scientific literature more efficiently.
  • D. Wiley Online Library
    Wiley Online Library is a major digital platform providing access to a wide range of scholarly journals, books, and reference works across numerous academic disciplines.
  • E. 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.
  • 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_69aed9618b04819081750d979d2af098 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefacb4c208190b8dd595a534850b2 completed March 9, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c7fd474819097766194ca8d165d completed March 14, 2026, 11:54 a.m.
Created at: March 9, 2026, 3:35 p.m.