Triple
T6394511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyon County, Kansas |
E143908
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Reading, Kansas
Reading, Kansas is a small rural city in east-central Kansas, United States, known for its agricultural surroundings and tight-knit community.
|
E592886
|
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: Reading, Kansas | Statement: [Lyon County, Kansas, contains, Reading, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reading, Kansas Context triple: [Lyon County, Kansas, contains, Reading, Kansas]
-
A.
Mission, Kansas
Mission, Kansas is a small suburban city in Johnson County that forms part of the Kansas City metropolitan area.
-
B.
Parsons, Kansas
Parsons, Kansas is a small city in Labette County known historically as a regional railroad hub and industrial center in southeastern Kansas.
-
C.
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.
-
D.
Franklin, Kansas
Franklin, Kansas is a small unincorporated community in southeastern Kansas known historically as a coal mining town.
-
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: Reading, Kansas Triple: [Lyon County, Kansas, contains, Reading, Kansas]
Generated description
Reading, Kansas is a small rural city in east-central Kansas, United States, known for its agricultural surroundings and tight-knit community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Reading, Kansas Target entity description: Reading, Kansas is a small rural city in east-central Kansas, United States, known for its agricultural surroundings and tight-knit community.
-
A.
Mission, Kansas
Mission, Kansas is a small suburban city in Johnson County that forms part of the Kansas City metropolitan area.
-
B.
Parsons, Kansas
Parsons, Kansas is a small city in Labette County known historically as a regional railroad hub and industrial center in southeastern Kansas.
-
C.
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.
-
D.
Franklin, Kansas
Franklin, Kansas is a small unincorporated community in southeastern Kansas known historically as a coal mining town.
-
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_69c008db906c819096f3597d55d95432 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06881313481908e9082ffe57f29b6 |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640ba9e04819098713f5bea7ebdbc |
completed | March 27, 2026, 8:32 a.m. |
| NEDg | Description generation | batch_69c643b7a37c8190807409b3c0d91cd5 |
completed | March 27, 2026, 8:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6444d8d048190959c77c39f728fc9 |
completed | March 27, 2026, 8:48 a.m. |
Created at: March 22, 2026, 4:35 p.m.