Triple
T3486475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Louis County, Minnesota |
E73618
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Chisholm, Minnesota
Chisholm, Minnesota is a small city on the Mesabi Iron Range known for its mining history and the Minnesota Discovery Center.
|
E368342
|
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: Chisholm, Minnesota | Statement: [St. Louis County, Minnesota, contains, Chisholm, Minnesota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chisholm, Minnesota Context triple: [St. Louis County, Minnesota, contains, Chisholm, Minnesota]
-
A.
Chatfield, Minnesota
Chatfield, Minnesota is a small city in southeastern Minnesota known for its historic downtown and annual Western Days celebration.
-
B.
Ostrander, Minnesota
Ostrander, Minnesota is a small rural city located in southeastern Minnesota within Fillmore County.
-
C.
Adams, Minnesota
Adams, Minnesota is a small rural city located in Mower County in the southeastern part of the state.
-
D.
Anoka, Minnesota
Anoka, Minnesota is a city in the Twin Cities metropolitan area known as the "Halloween Capital of the World" for its long-running Halloween celebrations.
-
E.
Dundas, Minnesota
Dundas, Minnesota is a small city in southeastern Minnesota known historically for its milling industry and its location along the Cannon River.
- 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: Chisholm, Minnesota Triple: [St. Louis County, Minnesota, contains, Chisholm, Minnesota]
Generated description
Chisholm, Minnesota is a small city on the Mesabi Iron Range known for its mining history and the Minnesota Discovery Center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chisholm, Minnesota Target entity description: Chisholm, Minnesota is a small city on the Mesabi Iron Range known for its mining history and the Minnesota Discovery Center.
-
A.
Chatfield, Minnesota
Chatfield, Minnesota is a small city in southeastern Minnesota known for its historic downtown and annual Western Days celebration.
-
B.
Ostrander, Minnesota
Ostrander, Minnesota is a small rural city located in southeastern Minnesota within Fillmore County.
-
C.
Adams, Minnesota
Adams, Minnesota is a small rural city located in Mower County in the southeastern part of the state.
-
D.
Anoka, Minnesota
Anoka, Minnesota is a city in the Twin Cities metropolitan area known as the "Halloween Capital of the World" for its long-running Halloween celebrations.
-
E.
Dundas, Minnesota
Dundas, Minnesota is a small city in southeastern Minnesota known historically for its milling industry and its location along the Cannon River.
- 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_69ad85cca8d4819088494e9f3340fab5 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbb9059f881908f9cbe544365c8df |
completed | March 8, 2026, 6:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bbbe7648190bde27a2a048ff18c |
completed | March 13, 2026, 3:59 a.m. |
| NEDg | Description generation | batch_69b3b2b4185881909a3652b7a3996125 |
completed | March 13, 2026, 6:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3b33cbd2081908de388bbef39e63a |
completed | March 13, 2026, 6:48 a.m. |
Created at: March 8, 2026, 3:18 p.m.