Triple
T5691383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bourbon County, Kansas |
E125434
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Garland, Kansas
Garland, Kansas is a small unincorporated rural community located in Bourbon County in southeastern Kansas, United States.
|
E555564
|
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: Garland, Kansas | Statement: [Bourbon County, Kansas, hasSettlement, Garland, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garland, Kansas Context triple: [Bourbon County, Kansas, hasSettlement, Garland, Kansas]
-
A.
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.
-
B.
Gardner, Kansas
Gardner, Kansas is a small suburban city in Johnson County that forms part of the greater Kansas City metropolitan area.
-
C.
Watson, Kansas
Watson, Kansas is a small unincorporated rural community located in Shawnee County in the U.S. state of Kansas.
-
D.
Shawnee, Kansas
Shawnee, Kansas is a suburban city in Johnson County that forms part of the greater Kansas City metropolitan area.
-
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: Garland, Kansas Triple: [Bourbon County, Kansas, hasSettlement, Garland, Kansas]
Generated description
Garland, Kansas is a small unincorporated rural community located in Bourbon County in southeastern Kansas, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Garland, Kansas Target entity description: Garland, Kansas is a small unincorporated rural community located in Bourbon County in southeastern Kansas, United States.
-
A.
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.
-
B.
Gardner, Kansas
Gardner, Kansas is a small suburban city in Johnson County that forms part of the greater Kansas City metropolitan area.
-
C.
Watson, Kansas
Watson, Kansas is a small unincorporated rural community located in Shawnee County in the U.S. state of Kansas.
-
D.
Shawnee, Kansas
Shawnee, Kansas is a suburban city in Johnson County that forms part of the greater Kansas City metropolitan area.
-
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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023e500ec8190bfda4f6a818aa5dc |
completed | March 22, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0bf7e59b48190a4c240442d2d9136 |
completed | March 23, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_69c0c0ca548c81908382dbba5f440847 |
completed | March 23, 2026, 4:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c19e5ef08190abe26030e24b4d91 |
completed | March 23, 2026, 4:29 a.m. |
Created at: March 22, 2026, 3:44 p.m.