Triple
T11952225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra County |
E284452
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Downieville |
E956853
|
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: Downieville | Statement: [Sierra County, contains, Downieville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Downieville Context triple: [Sierra County, contains, Downieville]
-
A.
Downieville
chosen
Downieville is a historic former Gold Rush mining town in the Sierra Nevada of California that now serves as a small mountain community and outdoor recreation destination.
-
B.
Dawsonville
Dawsonville is a small city in north Georgia known for its gold rush history and strong ties to stock car racing and NASCAR culture.
-
C.
Loganville
Loganville is a suburban city in the Atlanta metropolitan area known for its residential communities and small-town character.
-
D.
Darbyville
Darbyville is the former name of the city now known as Macclenny in Baker County, Florida.
-
E.
Ellijay
Ellijay is a small mountain town in northern Georgia known for its apple orchards, outdoor recreation, and historic role in the region’s gold-mining era.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90365da288190a132703df563de23 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f471c931a88190a9d29262c62b9472 |
completed | May 1, 2026, 9:26 a.m. |
Created at: April 8, 2026, 9:45 p.m.