Triple
T21359606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Capper |
E526734
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Garnett, Kansas |
—
|
NE NERFINISHED |
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: Garnett, Kansas | Statement: [Arthur Capper, birthPlace, Garnett, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garnett, Kansas Context triple: [Arthur Capper, birthPlace, Garnett, Kansas]
-
A.
Garnett, Kansas
chosen
Garnett, Kansas is a small city in eastern Kansas known as the birthplace of prominent newspaper publisher and Kansas governor Arthur Capper.
-
B.
Gardner, Kansas
Gardner, Kansas is a small suburban city in Johnson County that forms part of the greater Kansas City metropolitan area.
-
C.
Garfield, Kansas
Garfield, Kansas is a small rural city located in Pawnee County in central Kansas, United States.
-
D.
Goddard, Kansas
Goddard, Kansas is a small suburban city in south-central Kansas, located just west of Wichita.
-
E.
Greensburg, Kansas
Greensburg, Kansas is a small city in south-central Kansas known for its near-total destruction by a 2007 EF5 tornado and subsequent rebuilding as a model green, sustainable community.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5bad6a308190a9665734a0fb5f55 |
completed | April 26, 2026, 6:38 p.m. |
Created at: April 16, 2026, 5:07 p.m.