Triple
T5076382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penn Valley, California |
E114406
|
entity |
| Predicate | partOfRegion |
P285
|
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: [Penn Valley, California, partOfRegion, Gold Country]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gold Country Context triple: [Penn Valley, California, partOfRegion, 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.
Gold Rush Country
Gold Rush Country is a themed area within the Dreamworld amusement park that recreates a gold-mining frontier atmosphere with related rides and attractions.
-
C.
Goldfields
Goldfields is a mineral-rich inland area of Western Australia historically known for its gold mining towns and significant contribution to the state’s mining industry.
-
D.
Gold Mine Town
Gold Mine Town is a themed attraction area in Shenzhen’s Happy Valley amusement park designed to resemble a historic gold-mining frontier town.
-
E.
Gold Mine
"Gold Mine" is a thriller novel by Wilbur Smith that centers on power struggles, greed, and danger in the South African gold mining industry.
- 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74d3b0088190a658864cb120eef4 |
completed | March 20, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb121fa388190ab3909d20f014b6f |
completed | March 21, 2026, 2:54 p.m. |
Created at: March 20, 2026, 1:39 p.m.