Triple

T11074777
Position Surface form Disambiguated ID Type / Status
Subject CLEOPATRA trial E261834 entity
Predicate registry P86 FINISHED
Object ClinicalTrials.gov E569106 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: ClinicalTrials.gov | Statement: [CLEOPATRA trial, registry, ClinicalTrials.gov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ClinicalTrials.gov
Context triple: [CLEOPATRA trial, registry, ClinicalTrials.gov]
  • A. ClinicalTrials.gov chosen
    ClinicalTrials.gov is a publicly accessible database that provides information on privately and publicly funded clinical studies conducted around the world.
  • B. OncoTrials
    OncoTrials is a clinical trial matching and management platform developed by Flatiron Health to help connect cancer patients with appropriate oncology studies.
  • C. 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.
  • 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. ResearchKit
    ResearchKit is an open-source framework from Apple that enables researchers and developers to create iOS apps for conducting medical studies and collecting health-related data from participants.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7994efb608190a81bc8c4d16ddbd0 completed April 9, 2026, 12:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c8cc77988190aad54f56dbd0f8cf completed April 18, 2026, 6:09 p.m.
Created at: April 8, 2026, 9:26 p.m.