Triple
T4810464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shawnee County, Kansas |
E107055
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Willard, Kansas
Willard, Kansas is a small rural city located in Shawnee County in the northeastern part of the state.
|
E512268
|
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: Willard, Kansas | Statement: [Shawnee County, Kansas, hasCity, Willard, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Willard, Kansas Context triple: [Shawnee County, Kansas, hasCity, Willard, Kansas]
-
A.
Weir, Kansas
Weir, Kansas is a small city located in southeastern Kansas within Cherokee County.
-
B.
Ellis, Kansas
Ellis, Kansas is a small city in western Kansas known as the boyhood home of automotive pioneer Walter P. Chrysler and for its railroad heritage.
-
C.
Mayetta, Kansas
Mayetta, Kansas is a small city in northeastern Kansas that serves as the governmental center of the Prairie Band Potawatomi Nation.
-
D.
St. Marys, Kansas
St. Marys, Kansas is a small city in northeastern Kansas known for its historic Catholic institutions and traditional community character.
-
E.
Wamego, Kansas
Wamego, Kansas is a small city in northeastern Kansas known for its agricultural roots, community-focused atmosphere, and attractions like its Oz-themed tourism sites.
- 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: Willard, Kansas Triple: [Shawnee County, Kansas, hasCity, Willard, Kansas]
Generated description
Willard, Kansas is a small rural city located in Shawnee County in the northeastern part of the state.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Willard, Kansas Target entity description: Willard, Kansas is a small rural city located in Shawnee County in the northeastern part of the state.
-
A.
Weir, Kansas
Weir, Kansas is a small city located in southeastern Kansas within Cherokee County.
-
B.
Ellis, Kansas
Ellis, Kansas is a small city in western Kansas known as the boyhood home of automotive pioneer Walter P. Chrysler and for its railroad heritage.
-
C.
Mayetta, Kansas
Mayetta, Kansas is a small city in northeastern Kansas that serves as the governmental center of the Prairie Band Potawatomi Nation.
-
D.
St. Marys, Kansas
St. Marys, Kansas is a small city in northeastern Kansas known for its historic Catholic institutions and traditional community character.
-
E.
Wamego, Kansas
Wamego, Kansas is a small city in northeastern Kansas known for its agricultural roots, community-focused atmosphere, and attractions like its Oz-themed tourism sites.
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c7b879081908e0c92a67422906e |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf186311c88190a8fe34e497e4662b |
completed | March 21, 2026, 10:14 p.m. |
| NEDg | Description generation | batch_69bf1ab34b6881908c5ac4fa8c67969f |
completed | March 21, 2026, 10:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf1b0138448190bff038e9d077d6c6 |
completed | March 21, 2026, 10:26 p.m. |
Created at: March 20, 2026, 1:23 p.m.