Triple
T7975795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | York, Pennsylvania |
E185442
|
entity |
| Predicate | metropolitanArea |
P294
|
FINISHED |
| Object |
York–Hanover, Pennsylvania Metropolitan Statistical Area
The York–Hanover, Pennsylvania Metropolitan Statistical Area is a U.S. Census-defined region in south-central Pennsylvania centered on the cities of York and Hanover, encompassing their surrounding communities for demographic and economic analysis.
|
E703085
|
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: York–Hanover, Pennsylvania Metropolitan Statistical Area | Statement: [York, Pennsylvania, metropolitanArea, York–Hanover, Pennsylvania Metropolitan Statistical Area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: York–Hanover, Pennsylvania Metropolitan Statistical Area Context triple: [York, Pennsylvania, metropolitanArea, York–Hanover, Pennsylvania Metropolitan Statistical Area]
-
A.
Harrisburg–Carlisle metropolitan area
The Harrisburg–Carlisle metropolitan area is a U.S. metro region centered on Pennsylvania’s state capital, Harrisburg, and the nearby borough of Carlisle, serving as a political, economic, and transportation hub for the surrounding region.
-
B.
Scranton–Wilkes-Barre metropolitan area
The Scranton–Wilkes-Barre metropolitan area is a northeastern Pennsylvania urban region centered around the cities of Scranton and Wilkes-Barre, known historically for coal mining and railroads and now a diversified economic and cultural hub.
-
C.
New Castle, Pennsylvania metropolitan area
The New Castle, Pennsylvania metropolitan area is a small urban region in western Pennsylvania centered on the city of New Castle and encompassing surrounding communities in Lawrence County.
-
D.
Bloomsburg–Berwick–Sunbury combined statistical area
The Bloomsburg–Berwick–Sunbury combined statistical area is a U.S. Census-defined region in central Pennsylvania that groups together several neighboring communities for demographic and economic analysis.
-
E.
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.
- 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: York–Hanover, Pennsylvania Metropolitan Statistical Area Triple: [York, Pennsylvania, metropolitanArea, York–Hanover, Pennsylvania Metropolitan Statistical Area]
Generated description
The York–Hanover, Pennsylvania Metropolitan Statistical Area is a U.S. Census-defined region in south-central Pennsylvania centered on the cities of York and Hanover, encompassing their surrounding communities for demographic and economic analysis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: York–Hanover, Pennsylvania Metropolitan Statistical Area Target entity description: The York–Hanover, Pennsylvania Metropolitan Statistical Area is a U.S. Census-defined region in south-central Pennsylvania centered on the cities of York and Hanover, encompassing their surrounding communities for demographic and economic analysis.
-
A.
Harrisburg–Carlisle metropolitan area
The Harrisburg–Carlisle metropolitan area is a U.S. metro region centered on Pennsylvania’s state capital, Harrisburg, and the nearby borough of Carlisle, serving as a political, economic, and transportation hub for the surrounding region.
-
B.
Scranton–Wilkes-Barre metropolitan area
The Scranton–Wilkes-Barre metropolitan area is a northeastern Pennsylvania urban region centered around the cities of Scranton and Wilkes-Barre, known historically for coal mining and railroads and now a diversified economic and cultural hub.
-
C.
New Castle, Pennsylvania metropolitan area
The New Castle, Pennsylvania metropolitan area is a small urban region in western Pennsylvania centered on the city of New Castle and encompassing surrounding communities in Lawrence County.
-
D.
Bloomsburg–Berwick–Sunbury combined statistical area
The Bloomsburg–Berwick–Sunbury combined statistical area is a U.S. Census-defined region in central Pennsylvania that groups together several neighboring communities for demographic and economic analysis.
-
E.
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.
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf56f688190902b95afe42635ec |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0c39e248190a146c1f2fd815f26 |
completed | March 31, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_69cbe43d29f8819080f7d729c4f28c75 |
completed | March 31, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc32e2e1c48190b86218bff9af99f5 |
completed | March 31, 2026, 8:47 p.m. |
Created at: March 30, 2026, 5:14 p.m.