Triple
T2687610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northstar commuter rail |
E57521
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object |
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.
|
E292672
|
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: Anoka, Minnesota | Statement: [Northstar commuter rail, serves, Anoka, Minnesota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anoka, Minnesota Context triple: [Northstar commuter rail, serves, Anoka, Minnesota]
-
A.
Ostrander, Minnesota
Ostrander, Minnesota is a small rural city located in southeastern Minnesota within Fillmore County.
-
B.
Hibbing
Hibbing is a city in northern Minnesota known for its rich iron mining history and as the hometown of musician Bob Dylan.
-
C.
Mankato, Minnesota
Mankato, Minnesota is a city in south-central Minnesota known historically as the site of the largest mass execution in U.S. history following the Dakota War of 1862.
-
D.
Aitkin
Aitkin is a variant spelling of the surname Aitken, which is of Scottish origin.
-
E.
Anoka County, Minnesota
Anoka County, Minnesota is a suburban county in the Minneapolis–Saint Paul metropolitan area known for its mix of residential communities, commercial development, and access to major transportation routes.
- 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: Anoka, Minnesota Triple: [Northstar commuter rail, serves, Anoka, Minnesota]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anoka, Minnesota Target entity description: 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.
-
A.
Ostrander, Minnesota
Ostrander, Minnesota is a small rural city located in southeastern Minnesota within Fillmore County.
-
B.
Hibbing
Hibbing is a city in northern Minnesota known for its rich iron mining history and as the hometown of musician Bob Dylan.
-
C.
Mankato, Minnesota
Mankato, Minnesota is a city in south-central Minnesota known historically as the site of the largest mass execution in U.S. history following the Dakota War of 1862.
-
D.
Aitkin
Aitkin is a variant spelling of the surname Aitken, which is of Scottish origin.
-
E.
Anoka County, Minnesota
Anoka County, Minnesota is a suburban county in the Minneapolis–Saint Paul metropolitan area known for its mix of residential communities, commercial development, and access to major transportation routes.
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9f080108190ab662a3a064cb5a9 |
completed | March 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb67c04a88190bc1145397a5c4eee |
completed | March 10, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_69afb79a8f008190939313490455d9b9 |
completed | March 10, 2026, 6:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb8205840819084ede24192bb0aa3 |
completed | March 10, 2026, 6:20 a.m. |
Created at: March 6, 2026, 9:54 p.m.