Triple
T1333346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Srivijaya Empire |
E28691
|
entity |
| Predicate | mainTradeGoods |
P26480
|
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: [Srivijaya Empire, mainTradeGoods, spices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainTradeGoods Context triple: [Srivijaya Empire, mainTradeGoods, spices]
-
A.
majorTradeType
Indicates the primary category or kind of trade activity that characterizes the relationship between the involved entities.
-
B.
productsTraded
chosen
Indicates that one entity exchanges or deals specific goods or commodities with another entity.
-
C.
usedInInternationalTrade
Indicates that something participates as a good, service, or instrument in commercial exchanges between different countries.
-
D.
percentageOfWorldTrade
Indicates the proportion of total global trade that is accounted for by a particular entity or group.
-
E.
historicTradeRole
Indicates that an entity historically functioned as a significant participant or hub in trade or commercial exchange.
- 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1e98900819092c54c0fb58b958a |
completed | March 1, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69a4bef174708190a07bbc697fe19a2d |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:55 p.m.