Triple
T20276349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GA-02 |
E503025
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Cusseta, 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: Cusseta, Georgia | Statement: [GA-02, hasCity, Cusseta, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cusseta, Georgia Context triple: [GA-02, hasCity, Cusseta, Georgia]
-
A.
Cusseta, Georgia
chosen
Cusseta, Georgia is a small city in west-central Georgia that serves as the county seat of Chattahoochee County and forms a unified city-county government with it.
-
B.
Jesup, Georgia
Jesup, Georgia is a small city in southeastern Georgia that serves as the county seat of Wayne County and a regional hub for rail and outdoor recreation.
-
C.
Calhoun, Georgia
Calhoun, Georgia is a small city in northwest Georgia known as the county seat of Gordon County and a regional hub along Interstate 75.
-
D.
De Soto, Georgia
De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
-
E.
St. Marys, Georgia
St. Marys, Georgia is a historic coastal town in southeastern Georgia known as a gateway to Cumberland Island and the surrounding marshes and waterways.
- 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.