Triple
T15402080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aitkin County, Minnesota |
E368344
|
entity |
| Predicate | countySeat |
P383
|
FINISHED |
| Object | Aitkin, Minnesota |
E860238
|
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: Aitkin, Minnesota | Statement: [Aitkin County, Minnesota, countySeat, Aitkin, Minnesota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aitkin, Minnesota Context triple: [Aitkin County, Minnesota, countySeat, Aitkin, Minnesota]
-
A.
Aitkin, Minnesota
chosen
Aitkin, Minnesota is a small city in Aitkin County known historically as a logging and railroad hub in central Minnesota.
-
B.
Aitkin
Aitkin is a variant spelling of the surname Aitken, which is of Scottish origin.
-
C.
Isanti, Minnesota
Isanti, Minnesota is a small city in east-central Minnesota known for its rural character and location within the northern Twin Cities metropolitan area.
-
D.
Keewatin, Minnesota
Keewatin, Minnesota is a small city on the Iron Range in northern Minnesota known historically for its taconite mining industry.
-
E.
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.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8ea0ac8190a5c68b1951ad3db1 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff8759922c8190ae5a5700e3ecc87c |
completed | May 9, 2026, 7:13 p.m. |
Created at: April 10, 2026, 3:19 a.m.