Triple
T20512802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iron Range |
E503605
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Virginia, 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: Virginia, Minnesota | Statement: [Iron Range, majorCity, Virginia, Minnesota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Virginia, Minnesota Context triple: [Iron Range, majorCity, Virginia, Minnesota]
-
A.
Virginia, Minnesota
chosen
Virginia, Minnesota is a small city on the Mesabi Iron Range known historically for its iron mining industry and location in northeastern Minnesota.
-
B.
Minnesota
Minnesota is a U.S. state known for its numerous lakes, cold winters, and vibrant cultural and economic centers like Minneapolis–Saint Paul.
-
C.
Minnesota
Minnesota is an American hip hop record producer known for his work with prominent rap artists in the 1990s and 2000s.
-
D.
Minnesota
Minnesota is an American electronic music producer and DJ known for his melodic, bass-heavy dubstep and festival performances.
-
E.
Virginia, Nebraska
Virginia, Nebraska is a small rural village located in Gage County in the southeastern part of the state.
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69dcd74c48190b050e25c20154c09 |
completed | April 20, 2026, 9:42 p.m. |
Created at: April 16, 2026, 11:36 a.m.