Triple
T1476593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lewes, Delaware |
E30854
|
entity |
| Predicate | locatedInMetropolitanArea |
P294
|
FINISHED |
| Object |
Salisbury, Maryland–Delaware metropolitan area
The Salisbury, Maryland–Delaware metropolitan area is a bi-state region centered on the city of Salisbury that encompasses parts of Maryland and Delaware on the Delmarva Peninsula and functions as a regional hub for commerce, healthcare, and education.
|
E178829
|
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: Salisbury, Maryland–Delaware metropolitan area | Statement: [Lewes, Delaware, locatedInMetropolitanArea, Salisbury, Maryland–Delaware metropolitan area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salisbury, Maryland–Delaware metropolitan area Context triple: [Lewes, Delaware, locatedInMetropolitanArea, Salisbury, Maryland–Delaware metropolitan area]
-
A.
Baltimore–Washington metropolitan area
The Baltimore–Washington metropolitan area is a major combined urban region in the Mid-Atlantic United States centered on the cities of Baltimore, Maryland, and Washington, D.C., known for its dense population, federal government presence, and diverse economy.
-
B.
Metropolregion MD
Metropolregion MD is a central German metropolitan region encompassing major cities and economic centers in the states of Saxony, Saxony-Anhalt, and Thuringia, focused on regional development and cooperation.
-
C.
Hagerstown–Martinsburg, MD–WV Metropolitan Statistical Area
The Hagerstown–Martinsburg, MD–WV Metropolitan Statistical Area is a bi-state U.S. metropolitan region centered on the cities of Hagerstown, Maryland, and Martinsburg, West Virginia, encompassing surrounding communities in both states.
-
D.
Philadelphia–Camden–Wilmington metropolitan statistical area
The Philadelphia–Camden–Wilmington metropolitan statistical area is a major multi-state urban and suburban region centered on Philadelphia, spanning parts of Pennsylvania, New Jersey, Delaware, and Maryland and serving as a key economic and cultural hub of the Mid-Atlantic.
-
E.
Clinton, Maryland
Clinton, Maryland is a suburban community in Prince George’s County known for its residential neighborhoods and proximity to Washington, D.C.
- 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: Salisbury, Maryland–Delaware metropolitan area Triple: [Lewes, Delaware, locatedInMetropolitanArea, Salisbury, Maryland–Delaware metropolitan area]
Generated description
The Salisbury, Maryland–Delaware metropolitan area is a bi-state region centered on the city of Salisbury that encompasses parts of Maryland and Delaware on the Delmarva Peninsula and functions as a regional hub for commerce, healthcare, and education.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Salisbury, Maryland–Delaware metropolitan area Target entity description: The Salisbury, Maryland–Delaware metropolitan area is a bi-state region centered on the city of Salisbury that encompasses parts of Maryland and Delaware on the Delmarva Peninsula and functions as a regional hub for commerce, healthcare, and education.
-
A.
Baltimore–Washington metropolitan area
The Baltimore–Washington metropolitan area is a major combined urban region in the Mid-Atlantic United States centered on the cities of Baltimore, Maryland, and Washington, D.C., known for its dense population, federal government presence, and diverse economy.
-
B.
Metropolregion MD
Metropolregion MD is a central German metropolitan region encompassing major cities and economic centers in the states of Saxony, Saxony-Anhalt, and Thuringia, focused on regional development and cooperation.
-
C.
Hagerstown–Martinsburg, MD–WV Metropolitan Statistical Area
The Hagerstown–Martinsburg, MD–WV Metropolitan Statistical Area is a bi-state U.S. metropolitan region centered on the cities of Hagerstown, Maryland, and Martinsburg, West Virginia, encompassing surrounding communities in both states.
-
D.
Philadelphia–Camden–Wilmington metropolitan statistical area
The Philadelphia–Camden–Wilmington metropolitan statistical area is a major multi-state urban and suburban region centered on Philadelphia, spanning parts of Pennsylvania, New Jersey, Delaware, and Maryland and serving as a key economic and cultural hub of the Mid-Atlantic.
-
E.
Clinton, Maryland
Clinton, Maryland is a suburban community in Prince George’s County known for its residential neighborhoods and proximity to Washington, D.C.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c603f9e88190b340734709534860 |
completed | March 1, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad40136c448190836426aa203590a8 |
completed | March 8, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_69ad40f485e481909e801cdd3da3c27b |
completed | March 8, 2026, 9:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad415932f4819083639af0e0836345 |
completed | March 8, 2026, 9:28 a.m. |
Created at: March 1, 2026, 8:11 p.m.