Triple
T20051287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stoddard County |
E499205
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Dexter, 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: Dexter, Missouri | Statement: [Stoddard County, largestCity, Dexter, Missouri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dexter, Missouri Context triple: [Stoddard County, largestCity, Dexter, Missouri]
-
A.
Dexter, Missouri
chosen
Dexter, Missouri is a small city in southeastern Missouri that serves as a regional hub for agriculture, commerce, and transportation.
-
B.
Dearborn, Missouri
Dearborn, Missouri is a small rural city in the Kansas City metropolitan area known for its agricultural surroundings and tight-knit community.
-
C.
Estill, Missouri
Estill, Missouri is a small unincorporated community located in Howard County in the central part of the state.
-
D.
Dixie, Missouri
Dixie, Missouri is a small unincorporated rural community located in Callaway County in the U.S. state of Missouri.
-
E.
Duquesne, Missouri
Duquesne, Missouri is a small city located in southwestern Missouri that forms part of the Joplin 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6632d9d888190b0985bb5ed989311 |
completed | April 20, 2026, 5:32 p.m. |
Created at: April 11, 2026, 3:38 p.m.