Triple
T5792970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GA-316 |
E128438
|
entity |
| Predicate | passesNear |
P416
|
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: [GA-316, passesNear, Winder, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winder, Georgia Context triple: [GA-316, passesNear, 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.
Winder
Winder is a surname of English origin borne by various notable individuals, including military figures and public officials.
-
C.
Villa Rica, Georgia
Villa Rica, Georgia is a small historic city in the Atlanta metropolitan area known for being the site of one of the earliest major gold rushes in the United States.
-
D.
Williamson, Georgia
Williamson, Georgia is a small rural city located in Pike County in the west-central part of the U.S. state of Georgia.
-
E.
Baxley, Georgia
Baxley, Georgia is a small city in Appling County known for its rural character and proximity to major energy infrastructure in southeastern Georgia.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a5870b88190bbfaac2782635128 |
completed | March 22, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c09824c7f0819095565e0f29b3a508 |
completed | March 23, 2026, 1:32 a.m. |
Created at: March 22, 2026, 3:51 p.m.