Triple
T3754665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Early County, Georgia |
E82016
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Blakely, Georgia
Blakely, Georgia is a small city in southwestern Georgia that serves as the administrative and economic center of Early County.
|
E397784
|
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: Blakely, Georgia | Statement: [Early County, Georgia, capital, Blakely, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blakely, Georgia Context triple: [Early County, Georgia, capital, Blakely, Georgia]
-
A.
Calhoun, Georgia
Calhoun, Georgia is a small city in northwest Georgia known as the county seat of Gordon County and a regional hub along Interstate 75.
-
B.
De Soto, Georgia
De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
-
C.
Williamson, Georgia
Williamson, Georgia is a small rural city located in Pike County in the west-central part of the U.S. state of Georgia.
-
D.
Bogart, Georgia
Bogart, Georgia is a small town in northeastern Georgia located near the Athens metropolitan area.
-
E.
Meansville, Georgia
Meansville, Georgia is a small rural town in Pike County known for its quiet residential character and location along regional routes in west-central Georgia.
- 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: Blakely, Georgia Triple: [Early County, Georgia, capital, Blakely, Georgia]
Generated description
Blakely, Georgia is a small city in southwestern Georgia that serves as the administrative and economic center of Early County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blakely, Georgia Target entity description: Blakely, Georgia is a small city in southwestern Georgia that serves as the administrative and economic center of Early County.
-
A.
Calhoun, Georgia
Calhoun, Georgia is a small city in northwest Georgia known as the county seat of Gordon County and a regional hub along Interstate 75.
-
B.
De Soto, Georgia
De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
-
C.
Williamson, Georgia
Williamson, Georgia is a small rural city located in Pike County in the west-central part of the U.S. state of Georgia.
-
D.
Bogart, Georgia
Bogart, Georgia is a small town in northeastern Georgia located near the Athens metropolitan area.
-
E.
Meansville, Georgia
Meansville, Georgia is a small rural town in Pike County known for its quiet residential character and location along regional routes in west-central Georgia.
- 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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb94ffc08190a7fd1ce71a15f787 |
completed | March 8, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51c6b2a488190a621cc223c673615 |
completed | March 14, 2026, 8:29 a.m. |
| NEDg | Description generation | batch_69b51d51e52881908f798b12ee123d69 |
completed | March 14, 2026, 8:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b51dba68fc8190b02b0ca47f4f7803 |
completed | March 14, 2026, 8:35 a.m. |
Created at: March 8, 2026, 3:35 p.m.