Triple
T20284281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EVU |
E509833
|
entity |
| Predicate | cityServed |
P82
|
FINISHED |
| Object | Maryville, Missouri |
—
|
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: Maryville, Missouri | Statement: [EVU, cityServed, Maryville, Missouri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maryville, Missouri Context triple: [EVU, cityServed, Maryville, Missouri]
-
A.
Maryville, Missouri, United States
Maryville, Missouri, United States, is a small Midwestern city best known as the birthplace of influential self-improvement author and lecturer Dale Carnegie.
-
B.
Maryville
chosen
Maryville is a small city in northwest Missouri best known as the home of Northwest Missouri State University.
-
C.
Columbia, Missouri
Columbia, Missouri is a mid-sized city in central Missouri best known as a vibrant college town home to the University of Missouri.
-
D.
Washington, Missouri
Washington, Missouri is a small city in eastern Missouri along the Missouri River, known for its historic downtown, German heritage, and role as a regional hub in the state's wine country.
-
E.
Missouri City, Missouri
Missouri City, Missouri is a small suburban community in Clay County that forms part of the greater Kansas City metropolitan area.
- 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e67691516c81909f32b176edb6214c |
completed | April 20, 2026, 6:55 p.m. |
Created at: April 16, 2026, 10:56 a.m.