Triple
T10079678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reno County, Kansas |
E213865
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Haven, Kansas
Haven, Kansas is a small rural city in south-central Kansas known for its agricultural community and location within Reno County.
|
E854748
|
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: Haven, Kansas | Statement: [Reno County, Kansas, hasCity, Haven, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haven, Kansas Context triple: [Reno County, Kansas, hasCity, Haven, Kansas]
-
A.
Havensville, Kansas
Havensville, Kansas is a small rural city in Pottawatomie County in northeastern Kansas.
-
B.
Hudson, Kansas
Hudson, Kansas is a small rural city located in Stafford County in central Kansas, known for its agricultural surroundings and tight-knit community.
-
C.
Haven, Oklahoma
Haven, Oklahoma was a former small community in Oklahoma that served as the predecessor settlement to what later became Ruby, Oklahoma.
-
D.
Hartford, Kansas
Hartford, Kansas is a small rural city in east-central Kansas known for its close-knit community and agricultural surroundings.
-
E.
Leavenworth, Kansas
Leavenworth, Kansas is a historic city on the Missouri River known as one of the oldest communities in Kansas and for its long association with major federal and military institutions.
- 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: Haven, Kansas Triple: [Reno County, Kansas, hasCity, Haven, Kansas]
Generated description
Haven, Kansas is a small rural city in south-central Kansas known for its agricultural community and location within Reno County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haven, Kansas Target entity description: Haven, Kansas is a small rural city in south-central Kansas known for its agricultural community and location within Reno County.
-
A.
Havensville, Kansas
Havensville, Kansas is a small rural city in Pottawatomie County in northeastern Kansas.
-
B.
Hudson, Kansas
Hudson, Kansas is a small rural city located in Stafford County in central Kansas, known for its agricultural surroundings and tight-knit community.
-
C.
Haven, Oklahoma
Haven, Oklahoma was a former small community in Oklahoma that served as the predecessor settlement to what later became Ruby, Oklahoma.
-
D.
Hartford, Kansas
Hartford, Kansas is a small rural city in east-central Kansas known for its close-knit community and agricultural surroundings.
-
E.
Leavenworth, Kansas
Leavenworth, Kansas is a historic city on the Missouri River known as one of the oldest communities in Kansas and for its long association with major federal and military institutions.
- 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_69d71c559910819092b0eae9c05aa7dc |
completed | April 9, 2026, 3:26 a.m. |
| NEDg | Description generation | batch_69d73180d90481908f1b4768230edd36 |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7326b14988190bff33dc01e690707 |
completed | April 9, 2026, 5 a.m. |
Created at: March 30, 2026, 9 p.m.