Triple
T9080578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvey County, Kansas |
E217609
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Sedgwick, Kansas
Sedgwick, Kansas is a small city in south-central Kansas known for its rural community character and proximity to the Wichita metropolitan area.
|
E821071
|
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: Sedgwick, Kansas | Statement: [Harvey County, Kansas, hasCity, Sedgwick, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sedgwick, Kansas Context triple: [Harvey County, Kansas, hasCity, Sedgwick, Kansas]
-
A.
Seward, Kansas
Seward, Kansas is a small unincorporated rural community located in Stafford County in central Kansas.
-
B.
Wilson, Kansas
Wilson, Kansas is a small rural city in central Kansas known for its Czech heritage and location near Wilson Lake.
-
C.
Watson, Kansas
Watson, Kansas is a small unincorporated rural community located in Shawnee County in the U.S. state of Kansas.
-
D.
Walker, Kansas
Walker, Kansas is a small unincorporated community in Ellis County in central Kansas, historically tied to the region’s railroad and agricultural development.
-
E.
Holcomb, Kansas
Holcomb, Kansas is a small rural village in western Kansas best known as the real-life setting of Truman Capote’s true-crime book "In Cold Blood."
- 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: Sedgwick, Kansas Triple: [Harvey County, Kansas, hasCity, Sedgwick, Kansas]
Generated description
Sedgwick, Kansas is a small city in south-central Kansas known for its rural community character and proximity to the Wichita metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sedgwick, Kansas Target entity description: Sedgwick, Kansas is a small city in south-central Kansas known for its rural community character and proximity to the Wichita metropolitan area.
-
A.
Seward, Kansas
Seward, Kansas is a small unincorporated rural community located in Stafford County in central Kansas.
-
B.
Wilson, Kansas
Wilson, Kansas is a small rural city in central Kansas known for its Czech heritage and location near Wilson Lake.
-
C.
Watson, Kansas
Watson, Kansas is a small unincorporated rural community located in Shawnee County in the U.S. state of Kansas.
-
D.
Walker, Kansas
Walker, Kansas is a small unincorporated community in Ellis County in central Kansas, historically tied to the region’s railroad and agricultural development.
-
E.
Holcomb, Kansas
Holcomb, Kansas is a small rural village in western Kansas best known as the real-life setting of Truman Capote’s true-crime book "In Cold Blood."
- 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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc9607942c8190a21620892ce3cbe5 |
completed | April 1, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c3f31db48190a63d0d60f108496f |
completed | April 5, 2026, 2:07 a.m. |
| NEDg | Description generation | batch_69d1c4c37e248190a1b10cf6d0056c02 |
completed | April 5, 2026, 2:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1c56957f8819080eca0a71c24f86a |
completed | April 5, 2026, 2:14 a.m. |
Created at: March 30, 2026, 7:13 p.m.