Triple
T11744613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dickinson County |
E279245
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Chapman, Kansas |
E178311
|
NE FINISHED |
How this triple was built (2 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: Chapman, Kansas | Statement: [Dickinson County, contains, Chapman, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chapman, Kansas Context triple: [Dickinson County, contains, Chapman, Kansas]
-
A.
Chapman, Kansas
chosen
Chapman, Kansas is a small rural city in central Kansas known for its tight-knit community and agricultural surroundings.
-
B.
Thayer, Kansas
Thayer, Kansas is a small rural city located in Neosho County in southeastern Kansas, known for its agricultural surroundings and small-town community.
-
C.
Hanston, Kansas
Hanston, Kansas is a small rural city located in southwestern Kansas within Hodgeman County.
-
D.
Cheney, Kansas
Cheney, Kansas is a small city in south-central Kansas known for its proximity to Cheney Reservoir and its role as a local agricultural and recreational hub.
-
E.
Schoenchen, Kansas
Schoenchen, Kansas is a small rural city in central Kansas known for its German-Russian heritage and close-knit community.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4f2a38c8190a682d8dae1ab9415 |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6fef311c4819094b6b08a62d3afb3 |
completed | May 3, 2026, 7:53 a.m. |
Created at: April 8, 2026, 9:41 p.m.