Triple
T128599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlanta |
E2602
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | The ATL |
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: The ATL | Statement: [Atlanta, hasNickname, The ATL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The ATL Context triple: [Atlanta, hasNickname, The ATL]
-
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.
The Magic City
The Magic City is a nickname for Birmingham, Alabama, highlighting its rapid growth during the late 19th and early 20th centuries as an industrial and economic center.
-
C.
Crystal City
Crystal City is an urban neighborhood in Arlington, Virginia, known for its high-rise offices, residential towers, and proximity to Washington, D.C.
-
D.
ATLAS
ATLAS is a major particle physics experiment and detector at the Large Hadron Collider that investigates fundamental particles and forces, including the Higgs boson.
-
E.
Belmont
Belmont is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a25763ccf8819094e8dffb2ff98480 |
completed | Feb. 28, 2026, 2:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a29e4aeab48190bf2d140956278a42 |
completed | Feb. 28, 2026, 7:50 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.