Triple
T2073111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angels Camp |
E44860
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Gold Country |
E50405
|
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: Gold Country | Statement: [Angels Camp, partOf, Gold Country]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gold Country Context triple: [Angels Camp, partOf, Gold Country]
-
A.
Gold Country
chosen
Gold Country is a historic region in California famed for its 19th-century Gold Rush sites, mining heritage, and preserved frontier towns.
-
B.
California Gold
California Gold is a distinctive shade of gold used as one of the official school colors representing the University of California, Berkeley.
-
C.
Gold City
Gold City is a nickname for Dahlonega, Georgia, a historic town famed for its early 19th-century gold rush and mining heritage.
-
D.
Gold Hill
Gold Hill is a historic mining community in Nevada known for its role in the Comstock Lode silver and gold rush of the 19th century.
-
E.
Eldorado
Eldorado is a casino and hospitality brand associated with Caesars Entertainment, known for its gaming resorts and entertainment properties.
- 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_69a88916c2b48190a5ca2e9b12cad3ed |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba0eaa5081908f6d6ff80f79b1c9 |
completed | March 7, 2026, 5:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae272ee27c8190a4bb4690961dccf6 |
completed | March 9, 2026, 1:49 a.m. |
Created at: March 4, 2026, 7:41 p.m.