Triple
T17824212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twain Harte Lake |
E445070
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Gold Country |
—
|
NE NERFINISHED |
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: [Twain Harte Lake, region, Gold Country]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gold Country Context triple: [Twain Harte Lake, region, 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.
The Gold Town
The Gold Town is a nickname for Skellefteå, a Swedish city historically associated with gold mining and rich mineral resources.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4891352ac8190ad3d669fea1c9fbb |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.