Triple
T13294694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nerstrand-Big Woods State Park |
E316650
|
entity |
| Predicate | nearestCity |
P350
|
FINISHED |
| Object | Nerstrand, Minnesota |
E301798
|
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: Nerstrand, Minnesota | Statement: [Nerstrand-Big Woods State Park, nearestCity, Nerstrand, Minnesota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nerstrand, Minnesota Context triple: [Nerstrand-Big Woods State Park, nearestCity, Nerstrand, Minnesota]
-
A.
Nerstrand, Minnesota
chosen
Nerstrand, Minnesota is a small rural city in Rice County known for its proximity to Nerstrand-Big Woods State Park and its historic small-town character.
-
B.
Ostrander, Minnesota
Ostrander, Minnesota is a small rural city located in southeastern Minnesota within Fillmore County.
-
C.
Lindstrom, Minnesota
Lindstrom, Minnesota is a small city in eastern Minnesota known for its strong Swedish heritage and lakeside community character.
-
D.
Eitzen, Minnesota
Eitzen, Minnesota is a small city located in southeastern Minnesota near the Iowa border.
-
E.
Loman, Minnesota
Loman, Minnesota is a small unincorporated community in Koochiching County in northern Minnesota near the Rainy River and the Canadian border.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99079c8508190b6208db9affcbc0e |
completed | April 11, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7305fd57881909c1d7f09f3c084cf |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:28 p.m.