Triple
T1741964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia Gold Belt |
E38253
|
entity |
| Predicate | containsCounty |
P5971
|
FINISHED |
| Object |
White County
White County is a county in northeastern Georgia known for its mountainous terrain, outdoor recreation, and proximity to historic gold-mining areas.
|
E339064
|
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: White County | Statement: [Georgia Gold Belt, containsCounty, White County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: White County Context triple: [Georgia Gold Belt, containsCounty, White County]
-
A.
Logan County
Logan County is a largely rural, coal-mining region in southern West Virginia known for its Appalachian landscape and history.
-
B.
Ringgold County
Ringgold County is a rural county located in the southwestern part of the U.S. state of Iowa.
-
C.
Long County
Long County is a rural county in southeastern Georgia known for its small population, pine forests, and location within the Hinesville–Fort Stewart metropolitan area.
-
D.
Burnet County
Burnet County is a central Texas county known for its scenic lakes, rolling hills, and outdoor recreation in the Texas Hill Country.
-
E.
Dale County
Dale County is a county in southeastern Alabama known for its association with Fort Novosel (formerly Fort Rucker) and its role in the Wiregrass region.
- 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: White County Triple: [Georgia Gold Belt, containsCounty, White County]
Generated description
White County is a county in northeastern Georgia known for its mountainous terrain, outdoor recreation, and proximity to historic gold-mining areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: White County Target entity description: White County is a county in northeastern Georgia known for its mountainous terrain, outdoor recreation, and proximity to historic gold-mining areas.
-
A.
Logan County
Logan County is a largely rural, coal-mining region in southern West Virginia known for its Appalachian landscape and history.
-
B.
Ringgold County
Ringgold County is a rural county located in the southwestern part of the U.S. state of Iowa.
-
C.
Long County
Long County is a rural county in southeastern Georgia known for its small population, pine forests, and location within the Hinesville–Fort Stewart metropolitan area.
-
D.
Burnet County
Burnet County is a central Texas county known for its scenic lakes, rolling hills, and outdoor recreation in the Texas Hill Country.
-
E.
Dale County
Dale County is a county in southeastern Alabama known for its association with Fort Novosel (formerly Fort Rucker) and its role in the Wiregrass region.
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63c6d21c8190809bedaa798e2b14 |
completed | March 6, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b27693a86081909a7f4948ef473fd9 |
completed | March 12, 2026, 8:17 a.m. |
| NEDg | Description generation | batch_69b2778f5d848190b5ae405f3e777992 |
completed | March 12, 2026, 8:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b27879ff6081909f7d7f474d46ac4b |
completed | March 12, 2026, 8:25 a.m. |
Created at: March 4, 2026, 7:30 p.m.