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.