Triple
T22112678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brasstown Bald |
E546455
|
entity |
| Predicate | nearestTown |
P350
|
FINISHED |
| Object | Hiawassee, 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: Hiawassee, Georgia | Statement: [Brasstown Bald, nearestTown, Hiawassee, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hiawassee, Georgia Context triple: [Brasstown Bald, nearestTown, Hiawassee, Georgia]
-
A.
Hiawassee, Georgia
chosen
Hiawassee, Georgia is a small mountain town in northern Georgia known for its scenic location on Lake Chatuge and proximity to the Appalachian Mountains.
-
B.
Tallapoosa, Georgia
Tallapoosa, Georgia is a small city in Haralson County in western Georgia, known for its historic downtown and location near the Alabama state line.
-
C.
Alapaha, Georgia
Alapaha, Georgia is a small rural town in Berrien County known for its historic Southern character and proximity to the Alapaha River in south-central Georgia.
-
D.
Nahunta, Georgia
Nahunta, Georgia is a small city in southeastern Georgia that serves as the county seat of Brantley County.
-
E.
Hahira, Georgia
Hahira, Georgia is a small city in southern Georgia known for its annual Honeybee Festival and close-knit community atmosphere.
- 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1294ae7608190901745384a023bab |
completed | April 28, 2026, 9:40 p.m. |
Created at: April 16, 2026, 8:31 p.m.