Triple
T17434356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gordon State College |
E423961
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Barnesville |
—
|
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: Barnesville | Statement: [Gordon State College, city, Barnesville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barnesville Context triple: [Gordon State College, city, Barnesville]
-
A.
Barnesville, Georgia
chosen
Barnesville, Georgia is a small city in Lamar County known historically as a railroad and manufacturing hub in central Georgia.
-
B.
Barnes City
Barnes City is a small rural town located in the state of Iowa in the United States.
-
C.
Rossville
Rossville is a small city in northwestern Georgia, United States, known for its proximity to the historic Civil War site of Missionary Ridge and the nearby city of Chattanooga, Tennessee.
-
D.
Barnesville, Ohio
Barnesville, Ohio is a small village in Belmont County known historically as a 19th-century railroad and agricultural community and as the birthplace of inventor Elisha Gray.
-
E.
Reesville
Reesville is a rural locality in the Sunshine Coast hinterland of Queensland, Australia, known for its scenic countryside and proximity to water catchment areas.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4490274608190a60ada9aeb246eff |
completed | April 19, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.