Triple

T1530511
Position Surface form Disambiguated ID Type / Status
Subject PubMed Central E32429 entity
Predicate isRelatedTo P37 FINISHED
Object Entrez system E135930 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: Entrez system | Statement: [PubMed Central, isRelatedTo, Entrez system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Entrez system
Context triple: [PubMed Central, isRelatedTo, Entrez system]
  • A. Entrez system chosen
    The Entrez system is an integrated search and retrieval platform from the National Center for Biotechnology Information (NCBI) that provides unified access to a wide range of biomedical databases, including literature, sequences, genomes, and more.
  • B. National Center for Biotechnology Information
    The National Center for Biotechnology Information (NCBI) is a U.S. government bioinformatics institution that develops and hosts major biological databases and tools for biomedical research.
  • C. NCBI E-utilities API
    The NCBI E-utilities API is a set of programmatic web services that allow automated querying, retrieval, and integration of data from NCBI databases such as PubMed.
  • D. CUI Registry
    The CUI Registry is the official online catalog that identifies and defines all categories of Controlled Unclassified Information and their handling requirements across the U.S. federal government.
  • E. Z39.50
    Z39.50 is a client-server protocol used primarily by libraries and information services to search and retrieve bibliographic and related data from remote databases in a standardized way.
  • 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908156b888190968ca0157ae42bc7 completed March 5, 2026, 4:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad2957e6e4819087504a16bc32d60b completed March 8, 2026, 7:46 a.m.
Created at: March 4, 2026, 7:26 p.m.