Triple
T7319141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lino Lakes, Minnesota |
E168491
|
entity |
| Predicate | hasPostalAbbreviation |
P43
|
FINISHED |
| Object | Lino Lakes |
E168491
|
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: Lino Lakes | Statement: [Lino Lakes, Minnesota, hasPostalAbbreviation, Lino Lakes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lino Lakes Context triple: [Lino Lakes, Minnesota, hasPostalAbbreviation, Lino Lakes]
-
A.
Lino Lakes, Minnesota
chosen
Lino Lakes, Minnesota is a suburban city in Anoka County known for its residential communities, lakes, and natural open spaces within the Twin Cities metropolitan area.
-
B.
Minnetonka
Minnetonka is a suburban city in the Minneapolis–Saint Paul metropolitan area of Minnesota, known for its residential communities and proximity to Lake Minnetonka.
-
C.
Wayzata
Wayzata is a small, affluent lakeside city in Minnesota known for its location on the shores of Lake Minnetonka and its upscale residential and recreational character.
-
D.
Brainerd
Brainerd is a small city in central Minnesota, United States, known as a regional hub for outdoor recreation in the lakes area.
-
E.
Hibbing
Hibbing is a city in northern Minnesota known for its rich iron mining history and as the hometown of musician Bob Dylan.
- 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_69c68a5251508190ad68df4151cfeb04 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ef18b7bc81908a9ee405d684f304 |
completed | March 27, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86130228c819098544e5354c31b44 |
completed | March 28, 2026, 11:16 p.m. |
Created at: March 27, 2026, 3:02 p.m.