Triple
T12486791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walcott Township, Minnesota |
E298453
|
entity |
| Predicate | locatedInStateRegion |
P96807
|
FINISHED |
| Object | southern part of Minnesota |
—
|
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: southern part of Minnesota | Statement: [Walcott Township, Minnesota, locatedInStateRegion, southern part of Minnesota]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInStateRegion Context triple: [Walcott Township, Minnesota, locatedInStateRegion, southern part of Minnesota]
-
A.
locatedInStateOrRegion
chosen
Indicates that one entity is geographically situated within the boundaries of a specified state or region.
-
B.
locatedInCountyRegion
Indicates that one entity is geographically situated within the boundaries of a specific county or county-level region.
-
C.
regionalLocationWithinState
Indicates that one region is geographically located within the boundaries of a specific state.
-
D.
regionOfState
Indicates that one administrative or geographical region is a subdivision or part of a larger state.
-
E.
locatedInUSRegion
Indicates that one entity is geographically situated within a specified region of the United States.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e8a706c8190873623eab7db607d |
completed | April 10, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69d94d41f3cc8190a3331fb9a895306f |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:56 p.m.