Triple
T5490493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahoning Township, Lawrence County, Pennsylvania |
E123688
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
United States Census Bureau statistical areas of Pennsylvania
The United States Census Bureau statistical areas of Pennsylvania are officially defined geographic regions within the state used for collecting, analyzing, and publishing demographic and economic data.
|
E103547
|
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: United States Census Bureau statistical areas of Pennsylvania | Statement: [Mahoning Township, Lawrence County, Pennsylvania, partOf, United States Census Bureau statistical areas of Pennsylvania]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: United States Census Bureau statistical areas of Pennsylvania Context triple: [Mahoning Township, Lawrence County, Pennsylvania, partOf, United States Census Bureau statistical areas of Pennsylvania]
-
A.
United States Census Bureau Pittsburgh metropolitan statistical area
The United States Census Bureau Pittsburgh metropolitan statistical area is a federally defined region centered on Pittsburgh, Pennsylvania, used for statistical purposes to represent the broader urban and economic area surrounding the city.
-
B.
United States Census Bureau designated areas
United States Census Bureau designated areas are specific geographic regions defined by the Census Bureau for the purpose of collecting, analyzing, and publishing statistical data about the population and economy.
-
C.
United States Census Bureau defined places in Pennsylvania
United States Census Bureau defined places in Pennsylvania are officially designated geographic areas within the state used for collecting and reporting demographic and statistical data.
-
D.
U.S. Census Bureau regions and divisions
U.S. Census Bureau regions and divisions are a standardized geographic classification system that groups U.S. states into larger regions and smaller divisions for statistical and analytical purposes.
-
E.
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.
- 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: United States Census Bureau statistical areas of Pennsylvania Triple: [Mahoning Township, Lawrence County, Pennsylvania, partOf, United States Census Bureau statistical areas of Pennsylvania]
Generated description
The United States Census Bureau statistical areas of Pennsylvania are officially defined geographic regions within the state used for collecting, analyzing, and publishing demographic and economic data.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: United States Census Bureau statistical areas of Pennsylvania Target entity description: The United States Census Bureau statistical areas of Pennsylvania are officially defined geographic regions within the state used for collecting, analyzing, and publishing demographic and economic data.
-
A.
United States Census Bureau Pittsburgh metropolitan statistical area
The United States Census Bureau Pittsburgh metropolitan statistical area is a federally defined region centered on Pittsburgh, Pennsylvania, used for statistical purposes to represent the broader urban and economic area surrounding the city.
-
B.
United States Census Bureau designated areas
chosen
United States Census Bureau designated areas are specific geographic regions defined by the Census Bureau for the purpose of collecting, analyzing, and publishing statistical data about the population and economy.
-
C.
United States Census Bureau defined places in Pennsylvania
United States Census Bureau defined places in Pennsylvania are officially designated geographic areas within the state used for collecting and reporting demographic and statistical data.
-
D.
U.S. Census Bureau regions and divisions
U.S. Census Bureau regions and divisions are a standardized geographic classification system that groups U.S. states into larger regions and smaller divisions for statistical and analytical purposes.
-
E.
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.
- F. None of above.
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_69bd464a2d908190869324ce176779c8 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927f198c8190889b555be9bf9765 |
completed | March 20, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf48ada0548190aea4c6bd9013118f |
completed | March 22, 2026, 1:41 a.m. |
| NEDg | Description generation | batch_69bf498739e8819093a399c4330b62cf |
completed | March 22, 2026, 1:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf49eede0081909843a7984aadf4ad |
completed | March 22, 2026, 1:46 a.m. |
Created at: March 20, 2026, 2:10 p.m.