Triple
T10079679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reno County, Kansas |
E213865
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Arlington, Kansas
Arlington, Kansas is a small rural city in south-central Kansas known for its agricultural community and small-town character.
|
E872655
|
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: Arlington, Kansas | Statement: [Reno County, Kansas, hasCity, Arlington, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arlington, Kansas Context triple: [Reno County, Kansas, hasCity, Arlington, Kansas]
-
A.
Newton, Kansas
Newton, Kansas is a small city in south-central Kansas known historically as a railroad hub and gateway to the American West.
-
B.
Allen, Kansas
Allen, Kansas is a small rural city in eastern Kansas known for its close-knit community and agricultural surroundings.
-
C.
Hartford, Kansas
Hartford, Kansas is a small rural city in east-central Kansas known for its close-knit community and agricultural surroundings.
-
D.
Madison, Kansas
Madison, Kansas is a small rural city in Greenwood County known for its agricultural surroundings and location in east-central Kansas.
-
E.
Louisville, Kansas
Louisville, Kansas is a small rural community in Pottawatomie County that forms part of the Manhattan, Kansas region.
- 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: Arlington, Kansas Triple: [Reno County, Kansas, hasCity, Arlington, Kansas]
Generated description
Arlington, Kansas is a small rural city in south-central Kansas known for its agricultural community and small-town character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arlington, Kansas Target entity description: Arlington, Kansas is a small rural city in south-central Kansas known for its agricultural community and small-town character.
-
A.
Newton, Kansas
Newton, Kansas is a small city in south-central Kansas known historically as a railroad hub and gateway to the American West.
-
B.
Allen, Kansas
Allen, Kansas is a small rural city in eastern Kansas known for its close-knit community and agricultural surroundings.
-
C.
Hartford, Kansas
Hartford, Kansas is a small rural city in east-central Kansas known for its close-knit community and agricultural surroundings.
-
D.
Madison, Kansas
Madison, Kansas is a small rural city in Greenwood County known for its agricultural surroundings and location in east-central Kansas.
-
E.
Louisville, Kansas
Louisville, Kansas is a small rural community in Pottawatomie County that forms part of the Manhattan, Kansas region.
- 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_69ca839bf730819086900c323c9b8c95 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd031ce748190bb71189afd331979 |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94ae0a9608190ab241b6a62fe807b |
completed | April 10, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69d94c6fa9ac8190819a399754d2bd15 |
completed | April 10, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d953440a508190a50d1897cdbeba03 |
completed | April 10, 2026, 7:45 p.m. |
Created at: March 30, 2026, 9 p.m.