Triple
T5793022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northeast Georgia |
E128440
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Helen, Georgia
Helen, Georgia is a small Bavarian-themed alpine village and popular tourist destination in the mountains of northeast Georgia.
|
E546456
|
NE FINISHED |
How this triple was built (4 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: Helen, Georgia | Statement: [Northeast Georgia, contains, Helen, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen, Georgia Context triple: [Northeast Georgia, contains, Helen, Georgia]
-
A.
Haralson, Georgia
Haralson, Georgia is a small unincorporated community located in Coweta County in the west-central part of the state.
-
B.
Union Hill, Georgia
Union Hill, Georgia is a small unincorporated community located within Cherokee County in the U.S. state of Georgia.
-
C.
Henderson, Georgia
Henderson, Georgia is an unincorporated community located in Houston County in the central part of the U.S. state of Georgia.
-
D.
Hahira, Georgia
Hahira, Georgia is a small city in southern Georgia known for its annual Honeybee Festival and close-knit community atmosphere.
-
E.
Hapeville, Georgia
Hapeville, Georgia is a small city in the Atlanta metropolitan area known for its proximity to Hartsfield–Jackson Atlanta International Airport and its historic downtown.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Helen, Georgia Triple: [Northeast Georgia, contains, Helen, Georgia]
Generated description
Helen, Georgia is a small Bavarian-themed alpine village and popular tourist destination in the mountains of northeast Georgia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helen, Georgia Target entity description: Helen, Georgia is a small Bavarian-themed alpine village and popular tourist destination in the mountains of northeast Georgia.
-
A.
Haralson, Georgia
Haralson, Georgia is a small unincorporated community located in Coweta County in the west-central part of the state.
-
B.
Union Hill, Georgia
Union Hill, Georgia is a small unincorporated community located within Cherokee County in the U.S. state of Georgia.
-
C.
Henderson, Georgia
Henderson, Georgia is an unincorporated community located in Houston County in the central part of the U.S. state of Georgia.
-
D.
Hahira, Georgia
Hahira, Georgia is a small city in southern Georgia known for its annual Honeybee Festival and close-knit community atmosphere.
-
E.
Hapeville, Georgia
Hapeville, Georgia is a small city in the Atlanta metropolitan area known for its proximity to Hartsfield–Jackson Atlanta International Airport and its historic downtown.
- F. None of above. chosen
Provenance (5 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a905da88190bc710c6743af2d83 |
completed | March 22, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c09824c7f0819095565e0f29b3a508 |
completed | March 23, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69c098a0325c81909a1326b94e40ed50 |
completed | March 23, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c09943deec819085992c4e44050a34 |
completed | March 23, 2026, 1:37 a.m. |
Created at: March 22, 2026, 3:51 p.m.