Triple
T1791564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torwa dynasty |
E39506
|
entity |
| Predicate | tradePartners |
P28668
|
FINISHED |
| Object | interior Shona communities |
—
|
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: interior Shona communities | Statement: [Torwa dynasty, tradePartners, interior Shona communities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tradePartners Context triple: [Torwa dynasty, tradePartners, interior Shona communities]
-
A.
countryPartner
Indicates a formal partnership relationship between two countries, such as cooperation, alliance, or strategic collaboration.
-
B.
mainTradingPartnerCountry
Indicates the country that serves as the primary trading partner for a given entity, based on the largest or most significant volume of trade.
-
C.
tradingPartner
chosen
Indicates a relationship where two entities engage in the exchange of goods, services, or financial instruments with one another.
-
D.
isLinkedEconomicallyTo
Indicates that two entities are connected through economic relationships such as trade, investment, financial flows, or shared market dependencies.
-
E.
betweenCountry
Indicates a relationship or interaction that involves or occurs among two or more countries.
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab61b6ea188190aab9fb839bf1e367 |
completed | March 6, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69aa61d2f7a8819090301f92d3e358c7 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.