Triple
T8965390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bloomington |
E214116
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Burnsville |
E162642
|
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: Burnsville | Statement: [Bloomington, borders, Burnsville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burnsville Context triple: [Bloomington, borders, Burnsville]
-
A.
Burnsville, Minnesota
chosen
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.
-
B.
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.
-
C.
Robbinsdale
Robbinsdale is a small suburban city in Hennepin County, Minnesota, located just northwest of Minneapolis.
-
D.
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.
-
E.
Northfield
Northfield is a suburban area in the southwest of Birmingham, England, known for its residential neighborhoods and local amenities.
- 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_69ca839cd6008190a1546a701a56710c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc674c4be8819090d46aba8ab40af3 |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdb8aff9c81908554788f583925bf |
completed | April 3, 2026, 3:23 p.m. |
Created at: March 30, 2026, 7:01 p.m.