Triple
T1536805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indiana |
E32567
|
entity |
| Predicate | hasRegion |
P285
|
FINISHED |
| Object | Southern Indiana |
E136530
|
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: Southern Indiana | Statement: [Indiana, hasRegion, Southern Indiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Southern Indiana Context triple: [Indiana, hasRegion, Southern Indiana]
-
A.
Southern Indiana
chosen
Southern Indiana is a region of the U.S. state of Indiana known for its rolling hills, forests, and historic small towns.
-
B.
Northern Indiana
Northern Indiana is the upper portion of the U.S. state of Indiana, known for its mix of industrial cities, agricultural areas, and proximity to the Great Lakes.
-
C.
Central Indiana
Central Indiana is a geographic and cultural region in the U.S. state of Indiana that includes the Indianapolis metropolitan area and surrounding communities.
-
D.
Central Kentucky
Central Kentucky is a region in the middle of the U.S. state of Kentucky known for its rolling bluegrass landscapes, horse farms, and historic small towns.
-
E.
southwestern Ohio
Southwestern Ohio is a region of the U.S. state of Ohio that includes cities such as Dayton and Springfield and is known for its mix of urban centers, suburban communities, and rural areas.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90829e60081909d3f9f79585e080e |
completed | March 5, 2026, 4:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad3706935481909455528b1bc4ce6c |
completed | March 8, 2026, 8:44 a.m. |
Created at: March 4, 2026, 7:26 p.m.