Triple
T5542146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Wisconsin |
E145314
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Adams County
Adams County is a rural county in central Wisconsin known for its forests, lakes, and outdoor recreation.
|
E538980
|
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: Adams County | Statement: [Central Wisconsin, contains, Adams County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adams County Context triple: [Central Wisconsin, contains, Adams County]
-
A.
Adams County
Adams County is a largely rural county in eastern Washington State known for its agricultural production, particularly wheat and potatoes.
-
B.
Adams County
Adams County is a rural county in the southwestern part of the U.S. state of Iowa, known for its agricultural landscape and small communities.
-
C.
Grant County
Grant County is a county in central Washington State known for its agricultural production, reservoirs, and outdoor recreation areas.
-
D.
Rich County
Rich County is a sparsely populated rural county in northeastern Utah, known for its ranching communities and proximity to Bear Lake.
-
E.
Murray County
Murray County is a county in northwestern Georgia, United States, known for its location in the Appalachian foothills and its historical ties to early Cherokee Nation lands.
- 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: Adams County Triple: [Central Wisconsin, contains, Adams County]
Generated description
Adams County is a rural county in central Wisconsin known for its forests, lakes, and outdoor recreation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adams County Target entity description: Adams County is a rural county in central Wisconsin known for its forests, lakes, and outdoor recreation.
-
A.
Adams County
Adams County is a rural county in the southwestern part of the U.S. state of Iowa, known for its agricultural landscape and small communities.
-
B.
Adams County
Adams County is a largely rural county in eastern Washington State known for its agricultural production, particularly wheat and potatoes.
-
C.
Grant County
Grant County is a county in central Washington State known for its agricultural production, reservoirs, and outdoor recreation areas.
-
D.
Rich County
Rich County is a sparsely populated rural county in northeastern Utah, known for its ranching communities and proximity to Bear Lake.
-
E.
Murray County
Murray County is a county in northwestern Georgia, United States, known for its location in the Appalachian foothills and its historical ties to early Cherokee Nation lands.
- 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_69c008fa64888190adae56c8f9ea4031 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fc7e26481908cec8d0483170ea5 |
completed | March 22, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c059df62ac8190865dda631da4cec0 |
completed | March 22, 2026, 9:06 p.m. |
| NEDg | Description generation | batch_69c05b3696c0819081e869a229fb881f |
completed | March 22, 2026, 9:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05bb8a4988190b1b27f42e22d0187 |
completed | March 22, 2026, 9:14 p.m. |
Created at: March 22, 2026, 3:35 p.m.