Triple
T22738617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haralson County, Georgia |
E562343
|
entity |
| Predicate | hasCommunity |
P2605
|
FINISHED |
| Object |
Muscadine, Georgia
Muscadine, Georgia is a small unincorporated rural community located near the Georgia–Alabama state line in Haralson County.
|
E1552677
|
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: Muscadine, Georgia | Statement: [Haralson County, Georgia, hasCommunity, Muscadine, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muscadine, Georgia Context triple: [Haralson County, Georgia, hasCommunity, Muscadine, Georgia]
-
A.
Palmetto, Georgia
Palmetto, Georgia is a small city in the Atlanta metropolitan area known for its historic character and location spanning both Fulton and Coweta counties.
-
B.
Sumter, Georgia
Sumter, Georgia is a small unincorporated rural community located in Sumter County in the southwestern part of the U.S. state of Georgia.
-
C.
De Soto, Georgia
De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
-
D.
Odum, Georgia
Odum, Georgia is a small town in southeastern Georgia, United States, located in Wayne County.
-
E.
Vidalia, Georgia
Vidalia, Georgia is a small city in southeastern Georgia best known as the namesake and primary production area of the famous sweet Vidalia onions.
- 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: Muscadine, Georgia Triple: [Haralson County, Georgia, hasCommunity, Muscadine, Georgia]
Generated description
Muscadine, Georgia is a small unincorporated rural community located near the Georgia–Alabama state line in Haralson County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Muscadine, Georgia Target entity description: Muscadine, Georgia is a small unincorporated rural community located near the Georgia–Alabama state line in Haralson County.
-
A.
Palmetto, Georgia
Palmetto, Georgia is a small city in the Atlanta metropolitan area known for its historic character and location spanning both Fulton and Coweta counties.
-
B.
Sumter, Georgia
Sumter, Georgia is a small unincorporated rural community located in Sumter County in the southwestern part of the U.S. state of Georgia.
-
C.
De Soto, Georgia
De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
-
D.
Odum, Georgia
Odum, Georgia is a small town in southeastern Georgia, United States, located in Wayne County.
-
E.
Vidalia, Georgia
Vidalia, Georgia is a small city in southeastern Georgia best known as the namesake and primary production area of the famous sweet Vidalia onions.
- 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_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17971751081909253984429c8d178 |
completed | April 29, 2026, 3:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b8fce978c81908b83f84dc1357c91 |
completed | May 18, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_6a0b937b20008190817512be3d48df39 |
completed | May 18, 2026, 10:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b946320e0819097ef9c4638595dff |
completed | May 18, 2026, 10:36 p.m. |
Created at: April 17, 2026, 3:22 p.m.