Triple
T1662302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fairfield, Connecticut |
E35935
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | town in Connecticut |
C9011
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: town in Connecticut Context triple: [Fairfield, Connecticut, instanceOf, town in Connecticut]
-
A.
county of Connecticut
A county of Connecticut is an administrative geographic subdivision of the state used primarily for statistical and judicial purposes rather than local government.
-
B.
town in Massachusetts
A town in Massachusetts is a municipal entity with its own local government, typically governed by an open or representative town meeting and a board of selectmen, providing services and regulations for residents within its defined geographic boundaries.
-
C.
county in Massachusetts
A county in Massachusetts is an administrative and geographic subdivision of the state that historically provided local government functions, though many have since had their governmental powers reduced or abolished, serving primarily as regional boundaries for courts, law enforcement, and statistical purposes.
-
D.
county in Maine
A county in Maine is an administrative subdivision of the state that encompasses multiple municipalities and unorganized territories, providing regional governance, judicial services, and certain public functions.
-
E.
town in North Carolina
A town in North Carolina is a municipally incorporated community within the state that provides local governance, services, and regulations for its residents under North Carolina law.
- F. None of above. chosen
Provenance (1 batch)
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_69a88606aa808190aa0b421b4271f220 |
completed | March 4, 2026, 7:20 p.m. |
Created at: March 4, 2026, 7:29 p.m.