Triple
T1541839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince George’s Community College |
E32884
|
entity |
| Predicate | serviceRegion |
P30177
|
FINISHED |
| Object | Washington metropolitan area |
E514
|
NE FINISHED |
How this triple was built (3 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: Washington metropolitan area | Statement: [Prince George’s Community College, serviceRegion, Washington metropolitan area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Washington metropolitan area Context triple: [Prince George’s Community College, serviceRegion, Washington metropolitan area]
-
A.
Washington metropolitan area
chosen
The Washington metropolitan area is a major U.S. urban region centered on the nation’s capital, encompassing Washington, D.C. and its surrounding suburbs in Maryland, Virginia, and West Virginia.
-
B.
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.
-
C.
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.
-
D.
Southeast Washington, D.C.
Southeast Washington, D.C. is a quadrant of the U.S. capital city known for its historic neighborhoods, including Capitol Hill, as well as major federal landmarks and rapidly redeveloping residential and commercial areas.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceRegion Context triple: [Prince George’s Community College, serviceRegion, Washington metropolitan area]
-
A.
marketRegion
Indicates the geographic or demographic area in which a product, service, or entity is actively marketed or targeted.
-
B.
landingRegion
Indicates the area or zone where an object or entity comes to rest or makes contact after moving or descending.
-
C.
countryRegion
Indicates that a country is located within, or belongs to, a specific geographic or administrative region.
-
D.
endpointRegion
Indicates that one entity serves as the geographic or logical region in which the other entity’s endpoint is located or configured.
-
E.
supportsRegion
Indicates that one entity provides assistance, resources, or backing to a specific geographic or administrative region.
- 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_69a885ed29088190a3c2d5a3d100c16e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa95c1a2948190a2b98469afec1a7d |
completed | March 6, 2026, 8:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad51a8b8b88190a320071964846518 |
completed | March 8, 2026, 10:38 a.m. |
| PD | Predicate disambiguation | batch_69a907b2453c8190a41f6b88c8217d1e |
completed | March 5, 2026, 4:33 a.m. |
| PDg | Predicate description generation | batch_69a93df847cc8190b6d011af33b34b40 |
completed | March 5, 2026, 8:25 a.m. |
Created at: March 4, 2026, 7:26 p.m.