Triple
T15350092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wisconsin Highway 35 |
E367027
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object |
Siren, Wisconsin
Siren, Wisconsin is a small village in northwestern Wisconsin that serves as a local commercial and tourism hub near several lakes and outdoor recreation areas.
|
E1151949
|
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: Siren, Wisconsin | Statement: [Wisconsin Highway 35, connectsCity, Siren, Wisconsin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siren, Wisconsin Context triple: [Wisconsin Highway 35, connectsCity, Siren, Wisconsin]
-
A.
Elkhorn, Wisconsin
Elkhorn, Wisconsin is a small city in southeastern Wisconsin known as the administrative and commercial hub of Walworth County.
-
B.
Lindina, Wisconsin
Lindina, Wisconsin is a small rural community located in Juneau County in the central part of the state.
-
C.
Darien, Wisconsin
Darien, Wisconsin is a small rural village located in southeastern Wisconsin within Walworth County.
-
D.
Sullivan, Wisconsin
Sullivan, Wisconsin is a small rural village located in southeastern Wisconsin known for its quiet residential character and proximity to lakes and farmland.
-
E.
St. Germain, Wisconsin
St. Germain, Wisconsin is a small Northwoods town known for its lakes, outdoor recreation, and tourism in northern Wisconsin.
- 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: Siren, Wisconsin Triple: [Wisconsin Highway 35, connectsCity, Siren, Wisconsin]
Generated description
Siren, Wisconsin is a small village in northwestern Wisconsin that serves as a local commercial and tourism hub near several lakes and outdoor recreation areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Siren, Wisconsin Target entity description: Siren, Wisconsin is a small village in northwestern Wisconsin that serves as a local commercial and tourism hub near several lakes and outdoor recreation areas.
-
A.
Elkhorn, Wisconsin
Elkhorn, Wisconsin is a small city in southeastern Wisconsin known as the administrative and commercial hub of Walworth County.
-
B.
Lindina, Wisconsin
Lindina, Wisconsin is a small rural community located in Juneau County in the central part of the state.
-
C.
Darien, Wisconsin
Darien, Wisconsin is a small rural village located in southeastern Wisconsin within Walworth County.
-
D.
Sullivan, Wisconsin
Sullivan, Wisconsin is a small rural village located in southeastern Wisconsin known for its quiet residential character and proximity to lakes and farmland.
-
E.
St. Germain, Wisconsin
St. Germain, Wisconsin is a small Northwoods town known for its lakes, outdoor recreation, and tourism in northern Wisconsin.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e27f8a88190a0f65756e3a1fdfc |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01fb46b48190a030e40ee0163559 |
completed | May 9, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69ff031869a481909911d251aa9ce3e8 |
completed | May 9, 2026, 9:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff03c0ebc081908b1a132256e9d004 |
completed | May 9, 2026, 9:52 a.m. |
Created at: April 10, 2026, 3:17 a.m.