Triple
T8010636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wallace County, Kansas |
E186480
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Wallace, Kansas
Wallace, Kansas is a small rural town in western Kansas that serves as one of the communities within sparsely populated Wallace County.
|
E726259
|
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: Wallace, Kansas | Statement: [Wallace County, Kansas, hasCity, Wallace, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wallace, Kansas Context triple: [Wallace County, Kansas, hasCity, Wallace, Kansas]
-
A.
Willard, Kansas
Willard, Kansas is a small rural city located in Shawnee County in the northeastern part of the state.
-
B.
Waldo, Kansas
Waldo, Kansas is a small rural town in north-central Kansas located within Russell County.
-
C.
Walnut, Kansas
Walnut, Kansas is a small rural city located in Crawford County in southeastern Kansas, known for its agricultural surroundings and close-knit community.
-
D.
De Soto, Kansas
De Soto, Kansas is a small city in northeastern Kansas that forms part of the Kansas City metropolitan area.
-
E.
WaKeeney, Kansas
WaKeeney, Kansas is a small city in northwestern Kansas known as a regional service center along Interstate 70 and for its historic downtown and annual Christmas light displays.
- 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: Wallace, Kansas Triple: [Wallace County, Kansas, hasCity, Wallace, Kansas]
Generated description
Wallace, Kansas is a small rural town in western Kansas that serves as one of the communities within sparsely populated Wallace County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wallace, Kansas Target entity description: Wallace, Kansas is a small rural town in western Kansas that serves as one of the communities within sparsely populated Wallace County.
-
A.
Willard, Kansas
Willard, Kansas is a small rural city located in Shawnee County in the northeastern part of the state.
-
B.
Waldo, Kansas
Waldo, Kansas is a small rural town in north-central Kansas located within Russell County.
-
C.
Walnut, Kansas
Walnut, Kansas is a small rural city located in Crawford County in southeastern Kansas, known for its agricultural surroundings and close-knit community.
-
D.
De Soto, Kansas
De Soto, Kansas is a small city in northeastern Kansas that forms part of the Kansas City metropolitan area.
-
E.
WaKeeney, Kansas
WaKeeney, Kansas is a small city in northwestern Kansas known as a regional service center along Interstate 70 and for its historic downtown and annual Christmas light displays.
- 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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3d70caf8819090a9f98025470c0d |
completed | March 31, 2026, 3:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd94574a9c8190b826438a51f9ca02 |
completed | April 1, 2026, 9:55 p.m. |
| NEDg | Description generation | batch_69cdab59ac188190ac017651b5a9a04a |
completed | April 1, 2026, 11:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdb2ae376c8190b3918ba6b269dba9 |
completed | April 2, 2026, 12:05 a.m. |
Created at: March 30, 2026, 5:19 p.m.