Triple

T200345
Position Surface form Disambiguated ID Type / Status
Subject Biology Letters E4090 entity
Predicate isIndexedIn P6000 FINISHED
Object MEDLINE E25737 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: MEDLINE | Statement: [Biology Letters, isIndexedIn, MEDLINE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MEDLINE
Context triple: [Biology Letters, isIndexedIn, MEDLINE]
  • A. PubMed chosen
    PubMed is a free search engine providing access to a vast database of biomedical and life sciences literature maintained by the U.S. National Library of Medicine.
  • B. Scopus
    Scopus is a large abstract and citation database of peer-reviewed literature covering scientific, technical, medical, and social science research.
  • 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. Science Citation Index
    The Science Citation Index is a multidisciplinary citation database that tracks and indexes scientific journal articles to measure research impact and facilitate literature discovery.
  • E. IEEE Xplore Digital Library
    IEEE Xplore Digital Library is an online research platform providing access to a vast collection of scientific and technical literature in electrical engineering, computer science, and related fields.
  • 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_69a254bca59881909a15e1496f1508c7 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a260c178ac819085eb94ccaf64b780 completed Feb. 28, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69a32813ed0c8190bebd5129eb5ebfe7 completed Feb. 28, 2026, 5:38 p.m.
Created at: Feb. 28, 2026, 2:44 a.m.