Triple
T184662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VOC |
E3954
|
entity |
| Predicate | tradedProduct |
P3553
|
FINISHED |
| Object | spices |
—
|
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: spices | Statement: [VOC, tradedProduct, spices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tradedProduct Context triple: [VOC, tradedProduct, spices]
-
A.
trades
Indicates an exchange relationship where one party gives something of value to another in return for something else of value.
-
B.
tradesInstrument
Indicates that one party engages in buying, selling, or exchanging a specified financial or tradable instrument.
-
C.
commodity
chosen
Indicates that one entity is a tradable good or resource that is bought, sold, or exchanged in relation to another entity.
-
D.
marketType
Indicates the classification or category of market in which an entity operates or a transaction occurs (e.g., retail, wholesale, online).
-
E.
isMostTradedCurrency
Indicates that a currency is the one with the highest trading volume or frequency in a given market or context.
- 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_69a25497e2f08190a040f8c6e1842643 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a2592867108190b5d316c055575449 |
completed | Feb. 28, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69a2566fb08c81908faff2fde552105d |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:40 a.m.