Triple
T19807073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Root River (Minnesota) |
E475840
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Houston, Minnesota |
—
|
NE NERFINISHED |
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: Houston, Minnesota | Statement: [Root River (Minnesota), flowsThrough, Houston, Minnesota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Houston, Minnesota Context triple: [Root River (Minnesota), flowsThrough, Houston, Minnesota]
-
A.
Houston, Minnesota
chosen
Houston, Minnesota is a small city in southeastern Minnesota known as a gateway to outdoor recreation in the Root River Valley.
-
B.
Hamburg, Minnesota
Hamburg, Minnesota is a small rural city located in Carver County in the south-central part of the state.
-
C.
Mankato, Minnesota
Mankato, Minnesota is a city in south-central Minnesota known historically as the site of the largest mass execution in U.S. history following the Dakota War of 1862.
-
D.
Austin, Minnesota
Austin, Minnesota is a small city in southern Minnesota known for being the home of Hormel Foods and the SPAM Museum.
-
E.
Minneapolis
Minneapolis is a major city in Minnesota known for its large and historically significant Norwegian American community, vibrant arts scene, and numerous lakes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65428f5c48190be6ae0d6a77675d2 |
completed | April 20, 2026, 4:28 p.m. |
Created at: April 10, 2026, 1:49 p.m.