Triple
T15102142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waynesboro, Georgia |
E360693
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Augusta, Georgia |
E18429
|
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: Augusta, Georgia | Statement: [Waynesboro, Georgia, locatedNear, Augusta, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Augusta, Georgia Context triple: [Waynesboro, Georgia, locatedNear, Augusta, Georgia]
-
A.
Augusta, Georgia
chosen
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.
-
B.
Augusta
Augusta was an honorific title used for empresses and other high-ranking women in the Roman and Byzantine Empires, signifying imperial dignity and status.
-
C.
Augusta
Augusta is a major city in eastern Georgia, United States, best known for hosting the annual Masters Tournament in professional golf.
-
D.
Augusta
Augusta is a coastal town and important industrial and port center in southeastern Sicily, Italy.
-
E.
Augusta
Augusta is a noblewoman historically recognized as the daughter of Galla.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00550007481909e02ee1d597a4d37 |
completed | April 15, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5e2b2188190b96807ca6442fb01 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 3:05 a.m.