Triple
T631741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iowa |
E15939
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Corn Belt |
E12059
|
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: Corn Belt | Statement: [Iowa, partOf, Corn Belt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corn Belt Context triple: [Iowa, partOf, Corn Belt]
-
A.
Corn Belt
chosen
The Corn Belt is a highly productive agricultural region in the central United States known for its intensive corn and soybean farming.
-
B.
Midwest Region
The Midwest Region is one of the four geographic brackets used to organize teams and games in the NCAA Division I Men’s Basketball Tournament.
-
C.
Midwestern United States
The Midwestern United States is a region of the country known for its agricultural heartland, major industrial cities, and central role in American culture and history.
-
D.
Nebraska–Iowa region
The Nebraska–Iowa region is a bi-state area in the central United States that encompasses communities and economic activity spanning the border between eastern Nebraska and western Iowa, including the Omaha–Council Bluffs metropolitan area.
-
E.
Northeastern Iowa
Northeastern Iowa is a largely rural region of Iowa known for its rolling hills, agricultural communities, and small towns such as Cresco.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ec2a4c08190bc5c6ce8a10b0967 |
completed | March 1, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a580335a5c819096d0c105178c4ad7 |
completed | March 2, 2026, 12:18 p.m. |
Created at: March 1, 2026, 7:35 p.m.