Triple
T20276345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GA-02 |
E503025
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Fort Gaines, Georgia |
E559662
|
NE FINISHED |
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: Fort Gaines, Georgia | Statement: [GA-02, hasCity, Fort Gaines, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fort Gaines, Georgia Context triple: [GA-02, hasCity, Fort Gaines, Georgia]
-
A.
Fort Gaines, Georgia
chosen
Fort Gaines, Georgia is a small historic city in Clay County along the Chattahoochee River in southwestern Georgia, near the Alabama state border.
-
B.
Fort Gaines
Fort Gaines is a historic 19th-century coastal fortification on Dauphin Island that played a key role in the Battle of Mobile Bay during the American Civil War.
-
C.
Fort Moore, Georgia
Fort Moore, Georgia is a major U.S. Army installation best known as a primary center for infantry and combat training.
-
D.
Fort Eisenhower, Georgia
Fort Eisenhower, Georgia is a major U.S. Army installation near Augusta best known as a center for signal, cyber, and communications training and operations.
-
E.
West Point, Georgia
West Point, Georgia is a small city in western Georgia along the Chattahoochee River, known historically as a textile mill town and now for hosting a major Kia Motors manufacturing plant.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a085a21233881908fb835541ae88c70 |
completed | May 16, 2026, 11:50 a.m. |
Created at: April 16, 2026, 10:32 a.m.