Triple

T14254575
Position Surface form Disambiguated ID Type / Status
Subject Medical Subject Headings E353351 entity
Predicate usedBy P260 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: [Medical Subject Headings, usedBy, PubMed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PubMed
Context triple: [Medical Subject Headings, usedBy, 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 (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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6297f38c819090d7c7fd8bfa2e9e completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c2e7ee081909a70c9d9b32b6ce5 completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:09 a.m.