Triple
T4313016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marthasville |
E94117
|
entity |
| Predicate | hasPart |
P35
|
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: [Marthasville, hasPart, Atlanta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atlanta Context triple: [Marthasville, hasPart, 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.
Macon
Macon is a small town located in Warren County, North Carolina, known for its rural character and proximity to Lake Gaston.
-
C.
Macon
Macon is a surname of English and French origin borne by various notable individuals, including American statesman Nathaniel Macon.
-
D.
Savannah metropolitan area
The Savannah metropolitan area is a coastal urban region in southeastern Georgia centered on the historic port city of Savannah, known for its tourism, logistics, and cultural heritage.
-
E.
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.
- 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_69b3451886588190a3dd1305ea7c58dc |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b350d8bff88190bcf7dd419d5f4312 |
completed | March 12, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b627befdd881908b602fd80f030405 |
completed | March 15, 2026, 3:30 a.m. |
Created at: March 12, 2026, 11:12 p.m.