Triple
T17740444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indiana State Road 4 |
E442838
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | Ashley, Indiana |
—
|
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: Ashley, Indiana | Statement: [Indiana State Road 4, connectsCity, Ashley, Indiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashley, Indiana Context triple: [Indiana State Road 4, connectsCity, Ashley, Indiana]
-
A.
Ashley, Indiana
chosen
Ashley, Indiana is a small Midwestern town located in northeastern Indiana, known for its rural character and proximity to regional lakes and farmland.
-
B.
Azalia, Indiana
Azalia, Indiana is a small unincorporated rural community located in Bartholomew County in the U.S. state of Indiana.
-
C.
Hudson, Indiana
Hudson, Indiana is a small town located in northeastern Indiana within Steuben County, known for its rural character and close-knit community.
-
D.
Brownsville, Indiana
Brownsville, Indiana is a small unincorporated community located in rural Union County in the eastern part of the state.
-
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 (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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47acc2610819099451b02bb51891f |
completed | April 19, 2026, 6:48 a.m. |
Created at: April 10, 2026, 10:09 a.m.