Triple
T17834384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Route 231 |
E445343
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Oneonta, Alabama |
—
|
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: Oneonta, Alabama | Statement: [U.S. Route 231, passesThrough, Oneonta, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oneonta, Alabama Context triple: [U.S. Route 231, passesThrough, Oneonta, Alabama]
-
A.
Oneonta, Alabama
chosen
Oneonta, Alabama is a small city in north-central Alabama known as the administrative and commercial hub of Blount County.
-
B.
Sylvania, Alabama
Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
-
C.
Toney, Alabama
Toney, Alabama is an unincorporated rural community in Madison County, located in the northern part of the state near the city of Huntsville.
-
D.
Altoona, Alabama
Altoona, Alabama is a small town in northeastern Alabama known for its rural character and location in the foothills of the Appalachian Mountains.
-
E.
Orrville, Alabama
Orrville, Alabama is a small rural town in Dallas County known for its agricultural surroundings and historic Southern character.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d271e4481909664897cb789fe4a |
completed | April 19, 2026, 8:07 a.m. |
Created at: April 10, 2026, 10:16 a.m.