Triple
T20276335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GA-02 |
E503025
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Boston, Georgia |
—
|
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: Boston, Georgia | Statement: [GA-02, hasCity, Boston, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boston, Georgia Context triple: [GA-02, hasCity, Boston, Georgia]
-
A.
Boston, Georgia
chosen
Boston, Georgia is a small rural city in southern Georgia known for its historic downtown and agricultural surroundings.
-
B.
Washington, Georgia
Washington, Georgia is a historic small city in Wilkes County known for its well-preserved antebellum architecture and role in early American and Civil War history.
-
C.
Geneva, Georgia
Geneva, Georgia is a small rural town located in west-central Georgia in the United States.
-
D.
Newton, Georgia
Newton, Georgia is a small city in southwestern Georgia that serves as the administrative and governmental center of Baker County.
-
E.
Bremen, Georgia
Bremen, Georgia is a small city in Haralson and Carroll counties in western Georgia, known as a regional hub along major transportation routes west of Atlanta.
- 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e675e3df68819096fb859bc92a0da1 |
completed | April 20, 2026, 6:52 p.m. |
Created at: April 16, 2026, 10:32 a.m.