Triple
T20076858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuyuna Range |
E499889
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Ironton, 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: Ironton, Minnesota | Statement: [Cuyuna Range, nearbyCity, Ironton, Minnesota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ironton, Minnesota Context triple: [Cuyuna Range, nearbyCity, Ironton, Minnesota]
-
A.
Ironton, Minnesota
chosen
Ironton, Minnesota is a small city in central Minnesota known for its mining history and access to the Cuyuna Lakes recreation and mountain biking area.
-
B.
Eitzen, Minnesota
Eitzen, Minnesota is a small city located in southeastern Minnesota near the Iowa border.
-
C.
Mountain Iron, Minnesota
Mountain Iron, Minnesota is a small city on the Mesabi Iron Range known historically as a major iron mining community in northeastern Minnesota.
-
D.
Isanti, Minnesota
Isanti, Minnesota is a small city in east-central Minnesota known for its rural character and location within the northern Twin Cities metropolitan area.
-
E.
Eyota, Minnesota
Eyota, Minnesota is a small city in southeastern Minnesota that serves as a rural community near the regional hub of Rochester.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6643bcfd48190893abd3734f15cd3 |
completed | April 20, 2026, 5:37 p.m. |
Created at: April 11, 2026, 3:40 p.m.