Triple
T6115711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camden County |
E136354
|
entity |
| Predicate | containsTownship |
P847
|
FINISHED |
| Object |
Berlin Township
Berlin Township is a municipal township located in Camden County, New Jersey, United States.
|
E568302
|
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: Berlin Township | Statement: [Camden County, containsTownship, Berlin Township]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berlin Township Context triple: [Camden County, containsTownship, Berlin Township]
-
A.
Berlin Township, Michigan
Berlin Township, Michigan is a rural civil township in Monroe County in the southeastern part of the state, known for its agricultural landscape and small-community character.
-
B.
Clinton Township
Clinton Township is a large suburban community in Macomb County, Michigan, known for its residential neighborhoods and commercial centers within the greater Detroit metropolitan region.
-
C.
Avon Township
Avon Township is a civil township located within Lorain County in the state of Ohio, United States.
-
D.
Rochester Township
Rochester Township is a civil township located in Lorain County in the U.S. state of Ohio.
-
E.
Washington Township
Washington Township is a rural civil township located within Poweshiek County in the U.S. state of Iowa.
- 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: Berlin Township Triple: [Camden County, containsTownship, Berlin Township]
Generated description
Berlin Township is a municipal township located in Camden County, New Jersey, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Berlin Township Target entity description: Berlin Township is a municipal township located in Camden County, New Jersey, United States.
-
A.
Berlin Township, Michigan
Berlin Township, Michigan is a rural civil township in Monroe County in the southeastern part of the state, known for its agricultural landscape and small-community character.
-
B.
Clinton Township
Clinton Township is a large suburban community in Macomb County, Michigan, known for its residential neighborhoods and commercial centers within the greater Detroit metropolitan region.
-
C.
Avon Township
Avon Township is a civil township located within Lorain County in the state of Ohio, United States.
-
D.
Rochester Township
Rochester Township is a civil township located in Lorain County in the U.S. state of Ohio.
-
E.
Washington Township
Washington Township is a rural civil township located within Poweshiek County in the U.S. state of Iowa.
- 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bc246e48190b4f3d52eb682aa45 |
completed | March 22, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1256aa9f8819090fdc98343af6f8e |
completed | March 23, 2026, 11:35 a.m. |
| NEDg | Description generation | batch_69c126dd44888190b20a02ede3705918 |
completed | March 23, 2026, 11:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1276a279c8190a6833c8c986e1291 |
completed | March 23, 2026, 11:43 a.m. |
Created at: March 22, 2026, 4:14 p.m.