Triple
T12852787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Ansgar, Iowa |
E307365
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Mitchell County |
E1048092
|
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: Mitchell County | Statement: [St. Ansgar, Iowa, county, Mitchell County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mitchell County Context triple: [St. Ansgar, Iowa, county, Mitchell County]
-
A.
Mitchell County
Mitchell County is a rural county in west-central Texas known for its ranching, wind energy production, and the city of Colorado City as its county seat.
-
B.
Mitchell County
chosen
Mitchell County is a rural county in northern Iowa known for its small farming communities and agricultural landscape.
-
C.
Bailey County
Bailey County is a rural county in the western Texas Panhandle known for its agricultural economy and small communities.
-
D.
Blanco County
Blanco County is a rural county in central Texas known for its scenic Hill Country landscapes, small towns, and outdoor recreation along the Blanco River.
-
E.
Sherman County
Sherman County is a sparsely populated rural county in the far northern part of the Texas Panhandle, known for its agriculture and wide-open High Plains landscape.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97021df7481909cd42a0f72040aa5 |
completed | April 10, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78acb7ee0819093e61c5b8eb7da38 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 5:36 p.m.