Triple

T22177982
Position Surface form Disambiguated ID Type / Status
Subject Nature Materials E548095 entity
Predicate indexingService P6000 FINISHED
Object PubMed NE NERFINISHED

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: PubMed | Statement: [Nature Materials, indexingService, PubMed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PubMed
Context triple: [Nature Materials, indexingService, PubMed]
  • 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. 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. Europe PubMed Central
    Europe PubMed Central is a regional, open-access repository that provides access to biomedical and life sciences research articles, mirroring and extending the content of PubMed Central for European users.
  • D. MEDLINE
    MEDLINE is a premier bibliographic database of life sciences and biomedical information maintained by the U.S. National Library of Medicine.
  • E. Embase
    Embase is a comprehensive biomedical and pharmacological bibliographic database widely used for systematic literature searches, particularly in drug and clinical research.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a6dd5a081908035e81c068d8d5a completed April 28, 2026, 9:45 p.m.
Created at: April 16, 2026, 8:34 p.m.