Triple
T15213926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koochiching County, Minnesota |
E363588
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Northome, Minnesota
Northome, Minnesota is a small rural city in northern Minnesota known for its surrounding forests, lakes, and outdoor recreation opportunities.
|
E1143649
|
NE FINISHED |
How this triple was built (4 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: Northome, Minnesota | Statement: [Koochiching County, Minnesota, contains, Northome, Minnesota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Northome, Minnesota Context triple: [Koochiching County, Minnesota, contains, Northome, Minnesota]
-
A.
Keewatin, Minnesota
Keewatin, Minnesota is a small city on the Iron Range in northern Minnesota known historically for its taconite mining industry.
-
B.
Eitzen, Minnesota
Eitzen, Minnesota is a small city located in southeastern Minnesota near the Iowa border.
-
C.
Nisswa, Minnesota
Nisswa, Minnesota is a small resort city in central Minnesota known for its lakes, tourism, and outdoor recreation.
-
D.
Loman, Minnesota
Loman, Minnesota is a small unincorporated community in Koochiching County in northern Minnesota near the Rainy River and the Canadian border.
-
E.
Mahtomedi, Minnesota
Mahtomedi, Minnesota is a small suburban city northeast of St. Paul known for its lakeside setting on White Bear Lake and strong public schools.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Northome, Minnesota Triple: [Koochiching County, Minnesota, contains, Northome, Minnesota]
Generated description
Northome, Minnesota is a small rural city in northern Minnesota known for its surrounding forests, lakes, and outdoor recreation opportunities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Northome, Minnesota Target entity description: Northome, Minnesota is a small rural city in northern Minnesota known for its surrounding forests, lakes, and outdoor recreation opportunities.
-
A.
Keewatin, Minnesota
Keewatin, Minnesota is a small city on the Iron Range in northern Minnesota known historically for its taconite mining industry.
-
B.
Eitzen, Minnesota
Eitzen, Minnesota is a small city located in southeastern Minnesota near the Iowa border.
-
C.
Nisswa, Minnesota
Nisswa, Minnesota is a small resort city in central Minnesota known for its lakes, tourism, and outdoor recreation.
-
D.
Loman, Minnesota
Loman, Minnesota is a small unincorporated community in Koochiching County in northern Minnesota near the Rainy River and the Canadian border.
-
E.
Mahtomedi, Minnesota
Mahtomedi, Minnesota is a small suburban city northeast of St. Paul known for its lakeside setting on White Bear Lake and strong public schools.
- F. None of above. chosen
Provenance (5 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076e4348819091fa91c1562e7c5c |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed341cfb8819086b386c6cb905eda |
completed | May 9, 2026, 6:25 a.m. |
| NEDg | Description generation | batch_69fed45bfb0c8190a0a02c51b027bd64 |
completed | May 9, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed4c6aaf88190af2f1d3a1280b825 |
completed | May 9, 2026, 6:31 a.m. |
Created at: April 10, 2026, 3:11 a.m.