Triple
T16242069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Highway 53 |
E394272
|
entity |
| Predicate | passesThrough |
P225
|
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: [U.S. Highway 53, passesThrough, Eveleth, Minnesota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eveleth, Minnesota Context triple: [U.S. Highway 53, passesThrough, 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.
Eitzen, Minnesota
Eitzen, Minnesota is a small city located in southeastern Minnesota near the Iowa border.
-
D.
Ellsworth, Minnesota
Ellsworth, Minnesota is a small rural city in southwestern Minnesota known for its agricultural community and close-knit small-town character.
-
E.
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.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2455eeb4c81909066a8af78329ef3 |
completed | April 17, 2026, 2:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000edf64a88190a9dd0c591c742977 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:04 a.m.