Triple
T3446386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas County, Georgia |
E72687
|
entity |
| Predicate | hasCensusDesignatedPlace |
P6345
|
FINISHED |
| Object |
Pavo, Georgia
Pavo, Georgia is a small rural community in southern Georgia known for its agricultural surroundings and small-town character.
|
E361603
|
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: Pavo, Georgia | Statement: [Thomas County, Georgia, hasCensusDesignatedPlace, Pavo, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pavo, Georgia Context triple: [Thomas County, Georgia, hasCensusDesignatedPlace, Pavo, Georgia]
-
A.
Vidette, Georgia
Vidette, Georgia is a small unincorporated rural community located in Burke County in the eastern part of the state.
-
B.
Bogart, Georgia
Bogart, Georgia is a small town in northeastern Georgia located near the Athens metropolitan area.
-
C.
Vaughn, Georgia
Vaughn, Georgia is a small unincorporated rural community located in Spalding County in the U.S. state of Georgia.
-
D.
Valdosta, Georgia
Valdosta, Georgia is a small city in southern Georgia known as a regional hub for education, retail, and sports, particularly high school football.
-
E.
De Soto, Georgia
De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
- 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: Pavo, Georgia Triple: [Thomas County, Georgia, hasCensusDesignatedPlace, Pavo, Georgia]
Generated description
Pavo, Georgia is a small rural community in southern Georgia known for its agricultural surroundings and small-town character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pavo, Georgia Target entity description: Pavo, Georgia is a small rural community in southern Georgia known for its agricultural surroundings and small-town character.
-
A.
Vidette, Georgia
Vidette, Georgia is a small unincorporated rural community located in Burke County in the eastern part of the state.
-
B.
Bogart, Georgia
Bogart, Georgia is a small town in northeastern Georgia located near the Athens metropolitan area.
-
C.
Vaughn, Georgia
Vaughn, Georgia is a small unincorporated rural community located in Spalding County in the U.S. state of Georgia.
-
D.
Valdosta, Georgia
Valdosta, Georgia is a small city in southern Georgia known as a regional hub for education, retail, and sports, particularly high school football.
-
E.
De Soto, Georgia
De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
- 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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba6efb188190b989fa4d6f28e16b |
completed | March 8, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b367fc4e8c81909fb57634113369fa |
completed | March 13, 2026, 1:27 a.m. |
| NEDg | Description generation | batch_69b36bb99b7881908d2fcbf53632d98f |
completed | March 13, 2026, 1:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b36c0f15248190a69d301c5ea90b35 |
completed | March 13, 2026, 1:44 a.m. |
Created at: March 8, 2026, 3:16 p.m.