Triple

T925920
Position Surface form Disambiguated ID Type / Status
Subject North Bethesda, Maryland E19981 entity
Predicate nearbyFederalAgency P22439 FINISHED
Object National Institutes of Health E1553 NE FINISHED

How this triple was built (3 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: National Institutes of Health | Statement: [North Bethesda, Maryland, nearbyFederalAgency, National Institutes of Health]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: National Institutes of Health
Context triple: [North Bethesda, Maryland, nearbyFederalAgency, National Institutes of Health]
  • A. National Institutes of Health chosen
    The National Institutes of Health is the United States’ primary federal biomedical research agency, supporting and conducting medical research to improve public health.
  • B. National Institute of General Medical Sciences
    The National Institute of General Medical Sciences is a U.S. government biomedical research institute that supports fundamental, non-disease-specific science and training to advance understanding of biological processes and lay the groundwork for medical advances.
  • C. National Heart, Lung, and Blood Institute
    The National Heart, Lung, and Blood Institute is a U.S. government biomedical research institute that leads and funds research, training, and education focused on heart, lung, blood, and sleep disorders.
  • D. National Institute of Allergy and Infectious Diseases
    The National Institute of Allergy and Infectious Diseases is a U.S. federal biomedical research agency that leads research and policy on infectious, immunologic, and allergic diseases.
  • E. National Center for Advancing Translational Sciences
    The National Center for Advancing Translational Sciences is a U.S. biomedical research center focused on accelerating the development and delivery of new diagnostics, treatments, and cures by improving the translational science process.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nearbyFederalAgency
Context triple: [North Bethesda, Maryland, nearbyFederalAgency, National Institutes of Health]
  • A. governingBodyNearby
    Indicates that a governing body is located in close physical proximity to the referenced entity or area.
  • B. governmentBranchServed
    Indicates that an entity has served in or been a member of a particular branch of government.
  • C. governmentCenter
    Indicates that a location serves as the primary administrative or political hub for a government or governing body.
  • D. nearbyState
    Indicates that one state is geographically adjacent to or in close proximity to another state.
  • E. federalEntityInvolved
    Indicates that a federal-level government body or authority is involved in, associated with, or has jurisdiction over the referenced action or relationship.
  • F. None of above. chosen

Provenance (5 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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b388f0bc8190a087222636135ba5 completed March 1, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826cc938481909e420185871a5d27 completed March 4, 2026, 12:34 p.m.
PD Predicate disambiguation batch_69a4b2970a4c8190b22cb2fd4706f62b completed March 1, 2026, 9:41 p.m.
PDg Predicate description generation batch_69a4b385176081909e3e8c3f647c1fd4 completed March 1, 2026, 9:45 p.m.
Created at: March 1, 2026, 7:40 p.m.