Triple

T7735410
Position Surface form Disambiguated ID Type / Status
Subject Europe PubMed Central E175365 entity
Predicate integratesWith P1075 FINISHED
Object PubMed 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: PubMed | Statement: [Europe PubMed Central, integratesWith, PubMed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PubMed
Context triple: [Europe PubMed Central, integratesWith, 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. ScienceDirect
    ScienceDirect is a leading full-text scientific database providing access to a large collection of peer-reviewed journals and books across numerous disciplines.
  • 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7033afbb881909b7ed2cc8f6c27c3 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7c12e0081908eb984ba9bc558ff completed March 29, 2026, 6:33 a.m.
Created at: March 27, 2026, 4:06 p.m.