Triple
T604965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kansas City metropolitan area |
E11574
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Gardner, Kansas
Gardner, Kansas is a small suburban city in Johnson County that forms part of the greater Kansas City metropolitan area.
|
E100116
|
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: Gardner, Kansas | Statement: [Kansas City metropolitan area, hasPart, Gardner, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gardner, Kansas Context triple: [Kansas City metropolitan area, hasPart, Gardner, Kansas]
-
A.
Mission, Kansas
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.
Garden City, Kansas
Garden City, Kansas is a small city in southwestern Kansas known as a regional agricultural and commercial hub on the High Plains.
-
D.
Shawnee, Kansas
Shawnee, Kansas is a suburban city in Johnson County that forms part of the greater Kansas City metropolitan area.
-
E.
Springfield, Kansas
Springfield, Kansas is a small rural community in the U.S. state of Kansas, notable here as the birthplace of Oliver Brown of the landmark Brown v. Board of Education case.
- 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: Gardner, Kansas Triple: [Kansas City metropolitan area, hasPart, Gardner, Kansas]
Generated description
Gardner, Kansas is a small suburban city in Johnson County that forms part of the greater Kansas City metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gardner, Kansas Target entity description: Gardner, Kansas is a small suburban city in Johnson County that forms part of the greater Kansas City metropolitan area.
-
A.
Mission, Kansas
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.
Garden City, Kansas
Garden City, Kansas is a small city in southwestern Kansas known as a regional agricultural and commercial hub on the High Plains.
-
D.
Shawnee, Kansas
Shawnee, Kansas is a suburban city in Johnson County that forms part of the greater Kansas City metropolitan area.
-
E.
Springfield, Kansas
Springfield, Kansas is a small rural community in the U.S. state of Kansas, notable here as the birthplace of Oliver Brown of the landmark Brown v. Board of Education case.
- 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49dc7d88c81909fe493ac57fd784e |
completed | March 1, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7927a25b081909b553fe3a486e84a |
completed | March 4, 2026, 2:01 a.m. |
| NEDg | Description generation | batch_69a796fc8de08190a8bc1fff36d3ea9d |
completed | March 4, 2026, 2:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a79773ce988190bd019e1bd03a3464 |
completed | March 4, 2026, 2:22 a.m. |
Created at: March 1, 2026, 7:35 p.m.