Triple
T14012801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roeland Park, Kansas |
E337127
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Mission, Kansas |
E95387
|
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: Mission, Kansas | Statement: [Roeland Park, Kansas, borders, Mission, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mission, Kansas Context triple: [Roeland Park, Kansas, borders, Mission, Kansas]
-
A.
Mission, Kansas
chosen
Mission, Kansas is a small suburban city in Johnson County that forms part of the Kansas City metropolitan area.
-
B.
Merriam, Kansas
Merriam, Kansas is a small suburban city in Johnson County that forms part of the greater Kansas City metropolitan area.
-
C.
Lewis, Kansas
Lewis, Kansas is a small rural city located in Edwards County in south-central Kansas, United States.
-
D.
Park, Kansas
Park, Kansas is a small rural city located in Gove County in western Kansas, known for its agricultural surroundings and tight-knit community.
-
E.
Seneca, Kansas
Seneca, Kansas is a small city in northeastern Kansas that serves as a local commercial and community hub for the surrounding rural region.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f37d11481909159bdb9e1e8d38e |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdef5e0648190ace4ec1605968e30 |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 10:19 p.m.