Triple
T327647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cleveland |
E6554
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Rust Belt |
E3736
|
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: Rust Belt | Statement: [Cleveland, partOf, Rust Belt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rust Belt Context triple: [Cleveland, partOf, Rust Belt]
-
A.
Rust Belt
chosen
The Rust Belt is a region in the northeastern and midwestern United States historically dominated by manufacturing and heavy industry that has experienced significant economic decline and population loss since the late 20th century.
-
B.
Pittsburgh region
The Pittsburgh region is a historically significant industrial area in western Pennsylvania, long known as a major center of steel production and manufacturing.
-
C.
Columbus metropolitan area
The Columbus metropolitan area is a regional urban and economic hub centered on the city of Columbus in western Georgia, extending into east-central Alabama.
-
D.
Southeast Michigan
Southeast Michigan is a region anchored by Detroit that serves as the historic heart of the U.S. automotive industry and a major center for manufacturing and engineering.
-
E.
Corn Belt
The Corn Belt is a highly productive agricultural region in the central United States known for its intensive corn and soybean farming.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea98fa2c8190a5b44f4a26543a17 |
completed | Feb. 28, 2026, 1:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3cfedb8a4819085970bddbd8ff9c1 |
completed | March 1, 2026, 5:34 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.