Triple
T10402316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mesabi Range |
E245176
|
entity |
| Predicate | majorTown |
P316
|
FINISHED |
| Object | Eveleth, Minnesota |
E497881
|
NE FINISHED |
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: Eveleth, Minnesota | Statement: [Mesabi Range, majorTown, Eveleth, Minnesota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eveleth, Minnesota Context triple: [Mesabi Range, majorTown, Eveleth, Minnesota]
-
A.
Eveleth, Minnesota
chosen
Eveleth, Minnesota is a small city in northeastern Minnesota known historically for its iron mining industry and as part of the state’s Iron Range.
-
B.
Keewatin, Minnesota
Keewatin, Minnesota is a small city on the Iron Range in northern Minnesota known historically for its taconite mining industry.
-
C.
Lonsdale, Minnesota
Lonsdale, Minnesota is a small city in southern Minnesota known for its growing residential community and proximity to the Twin Cities metropolitan area.
-
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.
Wadena, Minnesota
Wadena, Minnesota is a small city in central Minnesota known as a regional hub for agriculture, commerce, and transportation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9e42da08190a5383df3df6d3c18 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e215e3c3c88190833c1f56288629a2 |
completed | April 17, 2026, 11:13 a.m. |
Created at: April 6, 2026, 12:08 p.m.