Triple
T20276355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GA-02 |
E503025
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Shiloh, 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: Shiloh, Georgia | Statement: [GA-02, hasCity, Shiloh, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shiloh, Georgia Context triple: [GA-02, hasCity, Shiloh, Georgia]
-
A.
Shiloh, Georgia
chosen
Shiloh, Georgia is a small rural city located in west-central Georgia within the Columbus metropolitan area.
-
B.
Chickamauga, Georgia
Chickamauga, Georgia is a small city in Walker County best known for its proximity to the Chickamauga and Chattanooga National Military Park, a major American Civil War battlefield site.
-
C.
Sharpsburg, Georgia
Sharpsburg, Georgia is a small town in western Georgia known for its quiet residential character within the Atlanta metropolitan area.
-
D.
De Soto, Georgia
De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
-
E.
Meansville, Georgia
Meansville, Georgia is a small rural town in Pike County known for its quiet residential character and location along regional routes in west-central Georgia.
- 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.