Triple
T7377713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marion County, Kansas |
E170168
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Florence, Kansas
Florence, Kansas is a small rural city in central Kansas known historically as a railroad and cattle-shipping point along the Cottonwood River.
|
E660215
|
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: Florence, Kansas | Statement: [Marion County, Kansas, containsSettlement, Florence, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Florence, Kansas Context triple: [Marion County, Kansas, containsSettlement, Florence, Kansas]
-
A.
Bloom, Kansas
Bloom, Kansas is a small rural unincorporated community located in Ford County in southwestern Kansas.
-
B.
Fulton, Kansas
Fulton, Kansas is a small rural city located in Bourbon County in southeastern Kansas, United States.
-
C.
Franklin, Kansas
Franklin, Kansas is a small unincorporated community in southeastern Kansas known historically as a coal mining town.
-
D.
Louisville, Kansas
Louisville, Kansas is a small rural community in Pottawatomie County that forms part of the Manhattan, Kansas region.
-
E.
Ford, Kansas
Ford, Kansas is a small unincorporated rural community located in Ford County in southwestern Kansas.
- 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: Florence, Kansas Triple: [Marion County, Kansas, containsSettlement, Florence, Kansas]
Generated description
Florence, Kansas is a small rural city in central Kansas known historically as a railroad and cattle-shipping point along the Cottonwood River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Florence, Kansas Target entity description: Florence, Kansas is a small rural city in central Kansas known historically as a railroad and cattle-shipping point along the Cottonwood River.
-
A.
Bloom, Kansas
Bloom, Kansas is a small rural unincorporated community located in Ford County in southwestern Kansas.
-
B.
Fulton, Kansas
Fulton, Kansas is a small rural city located in Bourbon County in southeastern Kansas, United States.
-
C.
Franklin, Kansas
Franklin, Kansas is a small unincorporated community in southeastern Kansas known historically as a coal mining town.
-
D.
Louisville, Kansas
Louisville, Kansas is a small rural community in Pottawatomie County that forms part of the Manhattan, Kansas region.
-
E.
Ford, Kansas
Ford, Kansas is a small unincorporated rural community located in Ford County in southwestern Kansas.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1aa12888190b81e37b9fcd2adc0 |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802d57ae88190840442621d8bef35 |
completed | March 28, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69c80341f4188190af7e37b2274da679 |
completed | March 28, 2026, 4:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c80425549481909617bffd0a9822f1 |
completed | March 28, 2026, 4:39 p.m. |
Created at: March 27, 2026, 3:08 p.m.