Triple
T17184648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atomizer |
E417072
|
entity |
| Predicate | hasNotableTrack |
P8087
|
FINISHED |
| Object | Jordan, Minnesota |
E702621
|
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: Jordan, Minnesota | Statement: [Atomizer, hasNotableTrack, Jordan, Minnesota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jordan, Minnesota Context triple: [Atomizer, hasNotableTrack, Jordan, Minnesota]
-
A.
Jordan, Minnesota
chosen
Jordan, Minnesota is a small city in Scott County known for its historic downtown, proximity to the Twin Cities, and surrounding agricultural and river valley landscapes.
-
B.
Jackson, Minnesota
Jackson, Minnesota is a small city in southern Minnesota that serves as the administrative and commercial hub of Jackson County.
-
C.
Keewatin, Minnesota
Keewatin, Minnesota is a small city on the Iron Range in northern Minnesota known historically for its taconite mining industry.
-
D.
Le Sueur, Minnesota
Le Sueur, Minnesota is a small city in south-central Minnesota known historically for its food processing industry and location along the Minnesota River.
-
E.
Lindstrom, Minnesota
Lindstrom, Minnesota is a small city in eastern Minnesota known for its strong Swedish heritage and lakeside community character.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d9556c881908ccaee4ef77dbe1f |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a016747a8908190a7ce1408abc70c47 |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:37 a.m.