Triple
T18602161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Minnesota |
E454643
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Baxter, Minnesota |
—
|
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: Baxter, Minnesota | Statement: [Central Minnesota, contains, Baxter, Minnesota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baxter, Minnesota Context triple: [Central Minnesota, contains, Baxter, Minnesota]
-
A.
Baxter, Minnesota
chosen
Baxter, Minnesota is a small city in central Minnesota known for its retail centers, outdoor recreation opportunities, and proximity to the Brainerd Lakes area.
-
B.
Bixby, Minnesota
Bixby, Minnesota is a small unincorporated rural community located in Steele County in southern Minnesota.
-
C.
Brewster, Minnesota
Brewster, Minnesota is a small rural city located in southwestern Minnesota within Nobles County.
-
D.
Buhl, Minnesota
Buhl, Minnesota is a small city on the Iron Range in St. Louis County known historically for its iron mining roots and location in northeastern Minnesota.
-
E.
Blaine, Minnesota
Blaine, Minnesota is a suburban city in the Minneapolis–Saint Paul metropolitan area known for its residential communities, retail centers, and the National Sports Center complex.
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54751d7ec81909efc4867f649002e |
completed | April 19, 2026, 9:21 p.m. |
Created at: April 10, 2026, 11:45 a.m.