Triple
T10216297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fridley Middle School |
E242450
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Fridley |
E824611
|
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: Fridley | Statement: [Fridley Middle School, city, Fridley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fridley Context triple: [Fridley Middle School, city, Fridley]
-
A.
Fridley
chosen
Fridley is a suburban city in Anoka County, Minnesota, located just north of Minneapolis along the Mississippi River.
-
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.
Brainerd
Brainerd is a small city in central Minnesota, United States, known as a regional hub for outdoor recreation in the lakes area.
-
D.
Eden Prairie
Eden Prairie is a suburban city in the Minneapolis–Saint Paul metropolitan area of Minnesota, known for its residential communities, parks, and corporate offices.
-
E.
Burnsville, Minnesota
Burnsville, Minnesota is a suburban city in the Minneapolis–Saint Paul metropolitan area known for its residential communities, commercial centers, and proximity to major transportation routes.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa2894d0819095704449ecc2db6c |
completed | April 6, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71c77f65c8190862fde1c2fae045b |
completed | April 9, 2026, 3:26 a.m. |
Created at: April 6, 2026, 11:05 a.m.