Triple
T12468361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wells Township, Minnesota |
E297984
|
entity |
| Predicate | isInMidwesternUnitedStates |
P55318
|
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: [Wells Township, Minnesota, isInMidwesternUnitedStates, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInMidwesternUnitedStates Context triple: [Wells Township, Minnesota, isInMidwesternUnitedStates, true]
-
A.
isInMidwest
chosen
Indicates that a location or entity is situated within the Midwestern region of the United States.
-
B.
isInNorthCentralPartOf
Indicates that one entity is located within the north-central region of another entity.
-
C.
isInUSState
Indicates that one entity (typically a place or location) is geographically located within the boundaries of a specific U.S. state.
-
D.
isInSouthernTier
Indicates that one entity is located within the geographic region known as the Southern Tier relative to a larger area or jurisdiction.
-
E.
locatedInTornadoAlley
Indicates that the subject is situated within the geographic region commonly known as Tornado Alley, where tornado activity is especially frequent.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e626dbc8190ac7dcdb542ba9b0c |
completed | April 10, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69d94d3f701c81909dd0e00251ac8553 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:56 p.m.