Triple
T15766040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bloomsburg–Berwick–Sunbury combined statistical area |
E382221
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Pennsylvania metropolitan and micropolitan statistical areas system
The Pennsylvania metropolitan and micropolitan statistical areas system is a statewide framework of U.S. Census-defined urban regions used for demographic, economic, and planning analysis across Pennsylvania.
|
E1175530
|
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: Pennsylvania metropolitan and micropolitan statistical areas system | Statement: [Bloomsburg–Berwick–Sunbury combined statistical area, partOf, Pennsylvania metropolitan and micropolitan statistical areas system]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pennsylvania metropolitan and micropolitan statistical areas system Context triple: [Bloomsburg–Berwick–Sunbury combined statistical area, partOf, Pennsylvania metropolitan and micropolitan statistical areas system]
-
A.
United States micropolitan statistical areas
United States micropolitan statistical areas are officially designated regions centered on smaller urban cores that serve as important local hubs for population, commerce, and services across the country.
-
B.
United States Office of Management and Budget metropolitan statistical area
The United States Office of Management and Budget metropolitan statistical area is a regionally defined urbanized area and its surrounding communities designated by the U.S. Office of Management and Budget for federal statistical and administrative purposes.
-
C.
Sterling Micropolitan Statistical Area
The Sterling Micropolitan Statistical Area is a U.S. Census Bureau-defined region centered on Sterling, Illinois, that encompasses surrounding communities for demographic and economic analysis.
-
D.
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.
-
E.
U.S. metropolitan areas
U.S. metropolitan areas are densely populated urban regions in the United States that encompass a central city and its surrounding economically and socially integrated communities.
- 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: Pennsylvania metropolitan and micropolitan statistical areas system Triple: [Bloomsburg–Berwick–Sunbury combined statistical area, partOf, Pennsylvania metropolitan and micropolitan statistical areas system]
Generated description
The Pennsylvania metropolitan and micropolitan statistical areas system is a statewide framework of U.S. Census-defined urban regions used for demographic, economic, and planning analysis across Pennsylvania.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pennsylvania metropolitan and micropolitan statistical areas system Target entity description: The Pennsylvania metropolitan and micropolitan statistical areas system is a statewide framework of U.S. Census-defined urban regions used for demographic, economic, and planning analysis across Pennsylvania.
-
A.
United States micropolitan statistical areas
United States micropolitan statistical areas are officially designated regions centered on smaller urban cores that serve as important local hubs for population, commerce, and services across the country.
-
B.
United States Office of Management and Budget metropolitan statistical area
The United States Office of Management and Budget metropolitan statistical area is a regionally defined urbanized area and its surrounding communities designated by the U.S. Office of Management and Budget for federal statistical and administrative purposes.
-
C.
Sterling Micropolitan Statistical Area
The Sterling Micropolitan Statistical Area is a U.S. Census Bureau-defined region centered on Sterling, Illinois, that encompasses surrounding communities for demographic and economic analysis.
-
D.
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.
-
E.
U.S. metropolitan areas
U.S. metropolitan areas are densely populated urban regions in the United States that encompass a central city and its surrounding economically and socially integrated communities.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e050b8154881908afe5191e6424f15 |
completed | April 16, 2026, 3 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff87789914819097b56482cb8984c7 |
completed | May 9, 2026, 7:14 p.m. |
| NEDg | Description generation | batch_69ff887dc9cc81908833f9881647d82f |
completed | May 9, 2026, 7:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff8970b85081909c8eb114851841f1 |
completed | May 9, 2026, 7:22 p.m. |
Created at: April 10, 2026, 4:47 a.m.