Triple
T18267971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waupun, Wisconsin |
E437532
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object |
Shaler Park
Shaler Park is a public recreational park located in the city of Waupun in central Wisconsin.
|
E1315734
|
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: Shaler Park | Statement: [Waupun, Wisconsin, hasPark, Shaler Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shaler Park Context triple: [Waupun, Wisconsin, hasPark, Shaler Park]
-
A.
Shaler
Shaler is a surname most notably associated with Nathaniel Shaler, a prominent 19th-century American geologist and paleontologist.
-
B.
Dearborn Park
Dearborn Park is a residential neighborhood and planned community located within Chicago’s Near South Side.
-
C.
Point Pleasant Park
Point Pleasant Park is a large historic urban park and forested coastal green space at the southern tip of the Halifax Peninsula in Nova Scotia, known for its walking trails, fortifications, and harbor views.
-
D.
Elm Park
Elm Park was the historic football stadium in Reading, England that served as the long-time home of Reading F.C. before its closure and replacement by the Madejski Stadium.
-
E.
Elm Park
Elm Park is a suburban residential district in East London known for its 1930s housing estates and local shopping parade.
- 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: Shaler Park Triple: [Waupun, Wisconsin, hasPark, Shaler Park]
Generated description
Shaler Park is a public recreational park located in the city of Waupun in central Wisconsin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shaler Park Target entity description: Shaler Park is a public recreational park located in the city of Waupun in central Wisconsin.
-
A.
Shaler
Shaler is a surname most notably associated with Nathaniel Shaler, a prominent 19th-century American geologist and paleontologist.
-
B.
Dearborn Park
Dearborn Park is a residential neighborhood and planned community located within Chicago’s Near South Side.
-
C.
Point Pleasant Park
Point Pleasant Park is a large historic urban park and forested coastal green space at the southern tip of the Halifax Peninsula in Nova Scotia, known for its walking trails, fortifications, and harbor views.
-
D.
Elm Park
Elm Park was the historic football stadium in Reading, England that served as the long-time home of Reading F.C. before its closure and replacement by the Madejski Stadium.
-
E.
Elm Park
Elm Park is a suburban residential district in East London known for its 1930s housing estates and local shopping parade.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff7bda5c8190a5a85f3cfb7aa4ef |
completed | April 19, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03b3f89bcc819094a7155b89ec206e |
completed | May 12, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_6a03b4c841f881908a080734b1e19d09 |
completed | May 12, 2026, 11:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03b5470d408190ae676062f2855508 |
completed | May 12, 2026, 11:18 p.m. |
Created at: April 10, 2026, 10:34 a.m.