Triple

T22605865
Position Surface form Disambiguated ID Type / Status
Subject SciMed E566553 entity
Predicate usesAbbreviation P43 FINISHED
Object SciMed 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: SciMed | Statement: [SciMed, usesAbbreviation, SciMed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SciMed
Context triple: [SciMed, usesAbbreviation, SciMed]
  • A. SciMed chosen
    SciMed is the official abbreviation for the Faculty of Science and Medicine at the University of Fribourg, a multidisciplinary faculty combining scientific and medical education and research.
  • B. FMedSci
    FMedSci is the post-nominal title for Fellows of the Academy of Medical Sciences in the United Kingdom, recognizing significant contributions to medical science.
  • C. Medikal
    Medikal is a Ghanaian hip hop and Afrobeats rapper known for his witty wordplay, energetic delivery, and collaborations across the West African music scene.
  • D. EClinicalMedicine
    EClinicalMedicine is a peer-reviewed open-access medical journal in The Lancet family that publishes clinical research and evidence to inform clinical practice and health policy.
  • E. Medscape
    Medscape is a leading online platform that provides medical news, clinical information, and educational resources for healthcare professionals.
  • 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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1627172488190beb87df965498bcc completed April 29, 2026, 1:44 a.m.
Created at: April 17, 2026, 2:54 p.m.