Triple
T10957422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbia District (Hudson's Bay Company) |
E258880
|
entity |
| Predicate | primaryGoodsTraded |
P17159
|
FINISHED |
| Object | beaver pelts |
—
|
LITERAL 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: beaver pelts | Statement: [Columbia District (Hudson's Bay Company), primaryGoodsTraded, beaver pelts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryGoodsTraded Context triple: [Columbia District (Hudson's Bay Company), primaryGoodsTraded, beaver pelts]
-
A.
majorTradeType
chosen
Indicates the primary category or kind of trade activity that characterizes the relationship between the involved entities.
-
B.
haveAgriculturalTrade
Indicates that there is an ongoing exchange of agricultural goods or services between the related entities.
-
C.
exportedGood
Indicates that a good has been sent out from one country or region to another as part of international trade.
-
D.
usedInInternationalTrade
Indicates that something participates as a good, service, or instrument in commercial exchanges between different countries.
-
E.
percentageOfWorldTrade
Indicates the proportion of total global trade that is accounted for by a particular entity or group.
- F. None of above.
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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771260e9881909401a7a7466e1b8a |
completed | April 9, 2026, 9:28 a.m. |
| PD | Predicate disambiguation | batch_69d72e874f48819096ffa878f90c7d5b |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:23 p.m.