Triple
T31342570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mai Dunama Dabbalemi |
E799346
|
entity |
| Predicate | tradeRelations |
P9483
|
FINISHED |
| Object | North African merchants |
—
|
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: North African merchants | Statement: [Mai Dunama Dabbalemi, tradeRelations, North African merchants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tradeRelations Context triple: [Mai Dunama Dabbalemi, tradeRelations, North African merchants]
-
A.
tradeBloc
Indicates a formal economic relationship in which entities participate together in a trade bloc, coordinating trade policies and often reducing barriers to commerce among members.
-
B.
countryTradeShare
Indicates the proportion of a country’s total trade that is conducted with a specific partner or in a specific category.
-
C.
tradePartnerRegion
Indicates that one entity engages in trade with partners located in a specified geographic region.
-
D.
politicalRelation
Indicates a relationship between entities that involves political alignment, influence, affiliation, conflict, or cooperation within a political context.
-
E.
isLinkedEconomicallyTo
chosen
Indicates that two entities are connected through economic relationships such as trade, investment, financial flows, or shared market dependencies.
- 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_69f224e51614819083141459a080e97c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69f15d4f8819098892ed7905af38c |
completed | May 3, 2026, 1:04 a.m. |
| PD | Predicate disambiguation | batch_69f69d1d25e88190a7f57d323574da90 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:17 p.m.