Triple
T5032794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlanta urban area |
E113345
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Fairburn
Fairburn is a small suburban city in Fulton County, Georgia, that forms part of the greater Atlanta metropolitan area.
|
E492241
|
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: Fairburn | Statement: [Atlanta urban area, hasMajorCity, Fairburn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fairburn Context triple: [Atlanta urban area, hasMajorCity, Fairburn]
-
A.
Burtonwood
Burtonwood is a village in Cheshire, England, historically associated with coal mining and the former RAF Burtonwood airbase.
-
B.
Buellton
Buellton is a small city in California’s Santa Ynez Valley known for its wineries, roadside attractions, and role as a gateway to the Santa Barbara wine country.
-
C.
Culross
Culross is a historic coastal village in Fife, Scotland, known for its well-preserved 16th–17th century buildings and picturesque harbour.
-
D.
Harwood
Harwood is an English-language surname borne by various notable individuals across fields such as the military, arts, and politics.
-
E.
Burrell
Burrell is the surname of former Major League Baseball outfielder and two-time World Series champion Pat Burrell.
- 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: Fairburn Triple: [Atlanta urban area, hasMajorCity, Fairburn]
Generated description
Fairburn is a small suburban city in Fulton County, Georgia, that forms part of the greater Atlanta metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fairburn Target entity description: Fairburn is a small suburban city in Fulton County, Georgia, that forms part of the greater Atlanta metropolitan area.
-
A.
Burtonwood
Burtonwood is a village in Cheshire, England, historically associated with coal mining and the former RAF Burtonwood airbase.
-
B.
Buellton
Buellton is a small city in California’s Santa Ynez Valley known for its wineries, roadside attractions, and role as a gateway to the Santa Barbara wine country.
-
C.
Culross
Culross is a historic coastal village in Fife, Scotland, known for its well-preserved 16th–17th century buildings and picturesque harbour.
-
D.
Harwood
Harwood is an English-language surname borne by various notable individuals across fields such as the military, arts, and politics.
-
E.
Burrell
Burrell is the surname of former Major League Baseball outfielder and two-time World Series champion Pat Burrell.
- 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73b4d1708190aa1fa63104555f8a |
completed | March 20, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb0f21d308190adbac06397f90cee |
completed | March 21, 2026, 2:53 p.m. |
| NEDg | Description generation | batch_69beb2d2ea3c8190bebbe8008333ce1a |
completed | March 21, 2026, 3:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69beb340481481908ed524184d63f755 |
completed | March 21, 2026, 3:03 p.m. |
Created at: March 20, 2026, 1:36 p.m.