Triple

T711658
Position Surface form Disambiguated ID Type / Status
Subject Clinical Microbiology Reviews E14219 entity
Predicate hasAbstractingAndIndexing P14059 FINISHED
Object MEDLINE E71384 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: [Clinical Microbiology Reviews, hasAbstractingAndIndexing, MEDLINE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MEDLINE
Context triple: [Clinical Microbiology Reviews, hasAbstractingAndIndexing, MEDLINE]
  • A. MEDLINE chosen
    MEDLINE is a premier bibliographic database of life sciences and biomedical information maintained by the U.S. National Library of Medicine.
  • B. PubMed Central
    PubMed Central is a free digital archive of biomedical and life sciences journal literature maintained by the U.S. National Institutes of Health’s National Library of Medicine.
  • C. PubMed
    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.
  • D. Scopus
    Scopus is a large abstract and citation database of peer-reviewed literature covering scientific, technical, medical, and social science research.
  • E. Web of Science
    Web of Science is a major multidisciplinary citation indexing and abstracting database widely used for academic research and bibliometric analysis.
  • 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aa9a1dcc81908bdb7b960765fde5 completed March 1, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654dcbb688190ab997a3d31ec729a completed March 3, 2026, 3:26 a.m.
Created at: March 1, 2026, 7:36 p.m.