Triple
T7013610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dakota County, Minnesota |
E162643
|
entity |
| Predicate | hasRiverfrontAreas |
P19053
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Dakota County, Minnesota, hasRiverfrontAreas, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRiverfrontAreas Context triple: [Dakota County, Minnesota, hasRiverfrontAreas, true]
-
A.
hasWaterfrontArea
chosen
Indicates that an entity possesses or includes an area directly adjacent to or bordering a body of water.
-
B.
hasWaterfrontPark
Indicates that a place or area includes or is associated with a park located directly along a body of water.
-
C.
isRiverside
Indicates that one entity is located beside or along the bank of a river in relation to another entity.
-
D.
hasWaterfrontDevelopment
Indicates that a location or property includes or is associated with constructed developments directly along or adjacent to a body of water.
-
E.
hasRecreationalArea
Indicates that an entity includes, provides, or is associated with a designated space intended for leisure or recreational activities.
- F. None of above.
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_69c6885a127c8190867b059bdccf13ff |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc59cbfc8190bba9ebd14143d43c |
completed | March 27, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c790288190b7cbbaa4a5f9c91d |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:34 p.m.