Triple

T3389578
Position Surface form Disambiguated ID Type / Status
Subject MEDLINE E71384 entity
Predicate developedFrom P1245 FINISHED
Object MEDLARS E353349 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: MEDLARS | Statement: [MEDLINE, developedFrom, MEDLARS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MEDLARS
Context triple: [MEDLINE, developedFrom, MEDLARS]
  • A. MEDLINE
    MEDLINE is a premier bibliographic database of life sciences and biomedical information maintained by the U.S. National Library of Medicine.
  • B. NLM bibliographic services chosen
    NLM bibliographic services are the U.S. National Library of Medicine’s suite of databases and tools that provide access to biomedical literature and related bibliographic information.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69ad85a8fd9c819095ecedf838d2bf1b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb666e514819090560d43bfaf55b8 completed March 8, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35462c69481909700f01bacdac3e1 completed March 13, 2026, 12:03 a.m.
Created at: March 8, 2026, 3:14 p.m.