Triple
T1125523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia State Route 316 |
E24710
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Winder, Georgia |
E71784
|
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: Winder, Georgia | Statement: [Georgia State Route 316, nearbyCity, Winder, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winder, Georgia Context triple: [Georgia State Route 316, nearbyCity, Winder, Georgia]
-
A.
Winder, Georgia
chosen
Winder, Georgia is a small city in northeastern Georgia that serves as the county seat of Barrow County and is part of the Atlanta metropolitan area.
-
B.
Newnan, Georgia
Newnan, Georgia is a historic city in west-central Georgia, known for its well-preserved antebellum architecture and role as a regional economic and cultural center.
-
C.
Richland, Georgia
Richland, Georgia is a small city in Stewart County in southwestern Georgia, known historically as a rural community and regional crossroads.
-
D.
Woolsey, Georgia
Woolsey, Georgia is a small incorporated town located in Fayette County in the U.S. state of Georgia.
-
E.
Fairburn, Georgia
Fairburn, Georgia is a small city in the Atlanta metropolitan area known for its historic downtown and role as a growing suburban community.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bbdaf2d4819086f480f69da127f9 |
completed | March 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf10d9488190b199a70335430a90 |
completed | March 8, 2026, 12:13 a.m. |
Created at: March 1, 2026, 7:44 p.m.