Triple
T76197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ET |
E1522
|
entity |
| Predicate | usedInCity |
P4810
|
FINISHED |
| Object | Atlanta |
E2602
|
NE FINISHED |
How this triple was built (2 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: Atlanta | Statement: [ET, usedInCity, Atlanta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atlanta Context triple: [ET, usedInCity, Atlanta]
-
A.
Atlanta
chosen
Atlanta is the capital and largest city of the U.S. state of Georgia, known as a major cultural, economic, and transportation hub of the southeastern United States.
-
B.
Athens, Georgia
Athens, Georgia is a vibrant college town best known as the home of the University of Georgia and a historic hub for alternative rock and indie music.
-
C.
Augusta, Georgia
Augusta, Georgia is a major city in eastern Georgia known for hosting the Masters Tournament in professional golf and for its historic and military significance.
-
D.
Nashville
Nashville is the capital city of the U.S. state of Tennessee, widely known as a major center for country music and the recording industry.
-
E.
Fayetteville, Georgia
Fayetteville, Georgia is a suburban city south of Atlanta that serves as the county seat of Fayette County and is known for its historic downtown and proximity to major film production studios.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a24c60d19c8190a1b6c105ca59ef5b |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a2567c90308190a9b989c586f7e559 |
completed | Feb. 28, 2026, 2:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2d4c666c481908d07d0e4912af055 |
completed | Feb. 28, 2026, 11:43 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.