Triple
T6961103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Union Trading Post National Historic Site |
E161369
|
entity |
| Predicate | primaryTradeGoods |
P26480
|
FINISHED |
| Object | bison robes |
—
|
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: bison robes | Statement: [Fort Union Trading Post National Historic Site, primaryTradeGoods, bison robes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTradeGoods Context triple: [Fort Union Trading Post National Historic Site, primaryTradeGoods, bison robes]
-
A.
primaryTrade
Indicates that the referenced activity or exchange is the main or most significant trade relationship associated with the entities involved.
-
B.
majorTradeType
Indicates the primary category or kind of trade activity that characterizes the relationship between the involved entities.
-
C.
isMajorProducerOf
Indicates that an entity plays a leading or highly significant role in producing or supplying a particular product, resource, or output.
-
D.
primaryProduct
Indicates that one entity is the main or most important product associated with, produced by, or offered by another entity.
-
E.
productsTraded
chosen
Indicates that one entity exchanges or deals specific goods or commodities with another entity.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6daeee4d48190b078beeebb0053f4 |
completed | March 27, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c0b0a08190b262dfc94992994d |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:29 p.m.