Triple
T11592039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indiana State Road 37 |
E274904
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Mitchell, Indiana |
E267337
|
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, Indiana | Statement: [Indiana State Road 37, connects, Mitchell, Indiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mitchell, Indiana Context triple: [Indiana State Road 37, connects, Mitchell, Indiana]
-
A.
Mitchell, Indiana
chosen
Mitchell, Indiana is a small city in southern Indiana known as the birthplace of astronaut Gus Grissom and for its proximity to Spring Mill State Park.
-
B.
Milton, Indiana
Milton, Indiana is a small rural town located in eastern Indiana within Wayne County.
-
C.
McCordsville, Indiana
McCordsville, Indiana is a growing suburban town near Indianapolis known for its residential communities and location within the Indianapolis metropolitan area.
-
D.
DeMotte, Indiana
DeMotte, Indiana is a small town in Jasper County known as a rural Midwestern community and the birthplace of prominent U.S. Congressman Charles A. Halleck.
-
E.
St. John, Indiana
St. John, Indiana is a suburban town in Lake County known for its residential communities, good schools, and proximity to the Chicago metropolitan area.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8946594348190935106132fd18028 |
completed | April 10, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8b5ad3c81909c38c83804b7d337 |
completed | May 3, 2026, 2:53 a.m. |
Created at: April 8, 2026, 9:38 p.m.