Triple
T2814830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Heart, Lung, and Blood Advisory Council |
E54256
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Bethesda, Maryland (through NHLBI headquarters)
Bethesda, Maryland is a major suburban community just northwest of Washington, D.C., known for its federal research institutions, medical centers, and affluent residential and commercial areas.
|
E300733
|
NE FINISHED |
How this triple was built (4 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: Bethesda, Maryland (through NHLBI headquarters) | Statement: [National Heart, Lung, and Blood Advisory Council, locatedIn, Bethesda, Maryland (through NHLBI headquarters)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bethesda, Maryland (through NHLBI headquarters) Context triple: [National Heart, Lung, and Blood Advisory Council, locatedIn, Bethesda, Maryland (through NHLBI headquarters)]
-
A.
North Bethesda, Maryland
North Bethesda, Maryland is a suburban community in Montgomery County just northwest of Washington, D.C., known for its mixed residential and commercial areas and proximity to major federal agencies.
-
B.
Beltsville, Maryland
Beltsville, Maryland is a suburban community in Prince George's County known in part for hosting major federal facilities, including a key United States Secret Service training center.
-
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.
United States Census Bureau Suitland Federal Center
The United States Census Bureau Suitland Federal Center is a major federal complex in Maryland that serves as the headquarters and primary operations center for the U.S. Census Bureau and related statistical agencies.
-
E.
Berlin, Maryland, United States
Berlin, Maryland, United States, is a small historic town on Maryland’s Eastern Shore known for its preserved 19th-century downtown and proximity to Ocean City.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bethesda, Maryland (through NHLBI headquarters) Triple: [National Heart, Lung, and Blood Advisory Council, locatedIn, Bethesda, Maryland (through NHLBI headquarters)]
Generated description
Bethesda, Maryland is a major suburban community just northwest of Washington, D.C., known for its federal research institutions, medical centers, and affluent residential and commercial areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bethesda, Maryland (through NHLBI headquarters) Target entity description: Bethesda, Maryland is a major suburban community just northwest of Washington, D.C., known for its federal research institutions, medical centers, and affluent residential and commercial areas.
-
A.
North Bethesda, Maryland
North Bethesda, Maryland is a suburban community in Montgomery County just northwest of Washington, D.C., known for its mixed residential and commercial areas and proximity to major federal agencies.
-
B.
Beltsville, Maryland
Beltsville, Maryland is a suburban community in Prince George's County known in part for hosting major federal facilities, including a key United States Secret Service training center.
-
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.
United States Census Bureau Suitland Federal Center
The United States Census Bureau Suitland Federal Center is a major federal complex in Maryland that serves as the headquarters and primary operations center for the U.S. Census Bureau and related statistical agencies.
-
E.
Berlin, Maryland, United States
Berlin, Maryland, United States, is a small historic town on Maryland’s Eastern Shore known for its preserved 19th-century downtown and proximity to Ocean City.
- 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_69ab49de0af08190b3da69683be1e728 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde4d29488190a32461906dd9ea7e |
completed | March 7, 2026, 8:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afce9f964081909e422aaf1f026dbb |
completed | March 10, 2026, 7:56 a.m. |
| NEDg | Description generation | batch_69afcf12e3a0819098f28d31434a0c5f |
completed | March 10, 2026, 7:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afcf9c2d308190b111aa8038c9227a |
completed | March 10, 2026, 8 a.m. |
Created at: March 6, 2026, 9:59 p.m.