Triple
T7133729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anoka County, Minnesota |
E166252
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object | Anoka, Minnesota |
E292672
|
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: Anoka, Minnesota | Statement: [Anoka County, Minnesota, seat, Anoka, Minnesota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anoka, Minnesota Context triple: [Anoka County, Minnesota, seat, Anoka, Minnesota]
-
A.
Anoka, Minnesota
chosen
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.
-
B.
Ostrander, Minnesota
Ostrander, Minnesota is a small rural city located in southeastern Minnesota within Fillmore County.
-
C.
Owatonna, Minnesota
Owatonna, Minnesota is a small city in southern Minnesota best known as the hometown of electronic music project Owl City.
-
D.
Hibbing
Hibbing is a city in northern Minnesota known for its rich iron mining history and as the hometown of musician Bob Dylan.
-
E.
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.
- 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_69c68884a9388190af42f90d1c1a7151 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e68f15bc8190a4d82b8ee388f497 |
completed | March 27, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7daff33bc8190825078d791ff0b3a |
completed | March 28, 2026, 1:43 p.m. |
Created at: March 27, 2026, 2:45 p.m.