Triple
T21230525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hank Aaron State Trail bridges |
E523199
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Milwaukee multi-use trail network
The Milwaukee multi-use trail network is an interconnected system of urban paths in and around Milwaukee that supports walking, running, and cycling while linking parks, neighborhoods, and regional attractions.
|
E1473677
|
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: Milwaukee multi-use trail network | Statement: [Hank Aaron State Trail bridges, partOf, Milwaukee multi-use trail network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milwaukee multi-use trail network Context triple: [Hank Aaron State Trail bridges, partOf, Milwaukee multi-use trail network]
-
A.
Great Lakes Waterfront Trail network
The Great Lakes Waterfront Trail network is an extensive system of connected multi-use trails and routes that follows the shores of the Great Lakes and St. Lawrence River, linking numerous waterfront communities and natural areas.
-
B.
Milwaukee County parkways
Milwaukee County parkways are a network of scenic, tree-lined roadways and green corridors that connect and run through the Milwaukee County Parks system.
-
C.
Ozaukee Interurban Trail
The Ozaukee Interurban Trail is a multi-use recreational path in Ozaukee County, Wisconsin, that follows a former interurban railway corridor for walking, running, and cycling.
-
D.
Capital City State Trail
The Capital City State Trail is a popular multi-use recreational path in and around Madison, Wisconsin, used for biking, walking, and commuting through urban and natural landscapes.
-
E.
Tri-Cities regional trail network
The Tri-Cities regional trail network is an interconnected system of recreational trails in Washington’s Tri-Cities area that links natural areas, parks, and preserves for hiking, biking, and outdoor access.
- 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: Milwaukee multi-use trail network Triple: [Hank Aaron State Trail bridges, partOf, Milwaukee multi-use trail network]
Generated description
The Milwaukee multi-use trail network is an interconnected system of urban paths in and around Milwaukee that supports walking, running, and cycling while linking parks, neighborhoods, and regional attractions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Milwaukee multi-use trail network Target entity description: The Milwaukee multi-use trail network is an interconnected system of urban paths in and around Milwaukee that supports walking, running, and cycling while linking parks, neighborhoods, and regional attractions.
-
A.
Great Lakes Waterfront Trail network
The Great Lakes Waterfront Trail network is an extensive system of connected multi-use trails and routes that follows the shores of the Great Lakes and St. Lawrence River, linking numerous waterfront communities and natural areas.
-
B.
Milwaukee County parkways
Milwaukee County parkways are a network of scenic, tree-lined roadways and green corridors that connect and run through the Milwaukee County Parks system.
-
C.
Ozaukee Interurban Trail
The Ozaukee Interurban Trail is a multi-use recreational path in Ozaukee County, Wisconsin, that follows a former interurban railway corridor for walking, running, and cycling.
-
D.
Capital City State Trail
The Capital City State Trail is a popular multi-use recreational path in and around Madison, Wisconsin, used for biking, walking, and commuting through urban and natural landscapes.
-
E.
Tri-Cities regional trail network
The Tri-Cities regional trail network is an interconnected system of recreational trails in Washington’s Tri-Cities area that links natural areas, parks, and preserves for hiking, biking, and outdoor access.
- 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_69e0b512ad94819087942b2ed925185f |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734af3d508190b3359d14496370b6 |
completed | April 21, 2026, 8:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0986eb78208190b950f2c27d90f2d8 |
completed | May 17, 2026, 9:14 a.m. |
| NEDg | Description generation | batch_6a09876a38788190b2cef66b9d0c2f73 |
completed | May 17, 2026, 9:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09881c2d4c8190ab2cdf5dc99a43b0 |
completed | May 17, 2026, 9:19 a.m. |
Created at: April 16, 2026, 3:45 p.m.