Triple
T2675281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palmetto, Georgia |
E56443
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Palmetto |
E202240
|
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: Palmetto | Statement: [Palmetto, Georgia, hasName, Palmetto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palmetto Context triple: [Palmetto, Georgia, hasName, Palmetto]
-
A.
Palmetto
chosen
Palmetto is a long-distance Amtrak passenger train service operating along the U.S. East Coast between New York City and Savannah, Georgia.
-
B.
Esto, Florida
Esto, Florida is a small rural town located in Holmes County in the Florida Panhandle near the Alabama state line.
-
C.
Palmetto Point
Palmetto Point is a small coastal settlement on the Bahamian island of Eleuthera, known for its quiet beaches and local island community.
-
D.
Palmetto Leaves
Palmetto Leaves is a travelogue and collection of sketches by Harriet Beecher Stowe that depicts life, nature, and society in 19th-century Florida.
-
E.
Amelia Island
Amelia Island is a barrier island off the northeast coast of Florida known for its historic charm, beaches, and upscale resorts.
- 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9b3530c819093942cc985f814ef |
completed | March 7, 2026, 7:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa0638a9c8190b48ca5aa56eb66ff |
completed | March 10, 2026, 4:38 a.m. |
Created at: March 6, 2026, 9:54 p.m.