Triple
T18682440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Route 29 in Georgia |
E456767
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Bogart, Georgia |
E202619
|
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: Bogart, Georgia | Statement: [U.S. Route 29 in Georgia, passesThrough, Bogart, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bogart, Georgia Context triple: [U.S. Route 29 in Georgia, passesThrough, Bogart, Georgia]
-
A.
Bogart, Georgia
chosen
Bogart, Georgia is a small town in northeastern Georgia located near the Athens metropolitan area.
-
B.
Blakely, Georgia
Blakely, Georgia is a small city in southwestern Georgia that serves as the administrative and economic center of Early County.
-
C.
Buchanan, Georgia
Buchanan, Georgia is a small city in northwestern Georgia that serves as the administrative and governmental center of Haralson County.
-
D.
Guyton, Georgia
Guyton, Georgia is a small city in southeastern Georgia known for its historic charm and role as a residential community within the Savannah metropolitan area.
-
E.
De Soto, Georgia
De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55b2906ec8190ad8db8e3ae6b2945 |
completed | April 19, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05324a96c88190a50c8ffb30fdf71c |
completed | May 14, 2026, 2:24 a.m. |
Created at: April 10, 2026, 11:49 a.m.