Triple

T30379707
Position Surface form Disambiguated ID Type / Status
Subject Susu Kingdom E772787 entity
Predicate hasTradeRoute P35626 FINISHED
Object routes linking forest and savanna zones to the Sahara 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: routes linking forest and savanna zones to the Sahara | Statement: [Susu Kingdom, hasTradeRoute, routes linking forest and savanna zones to the Sahara]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTradeRoute
Context triple: [Susu Kingdom, hasTradeRoute, routes linking forest and savanna zones to the Sahara]
  • A. includesTradeRoute chosen
    Indicates that one entity contains, encompasses, or makes use of a particular trade route within its scope or structure.
  • B. usedAlongTradeRoutes
    Indicates that something was commonly transported, exchanged, or utilized as part of activities occurring along established trade routes.
  • C. hasSeaRouteConnection
    Indicates that there exists a navigable maritime route linking two locations or entities.
  • D. hadTradingPostNetwork
    Indicates that an entity maintained or controlled a network of trading posts used for commercial exchange or trade activities.
  • E. hasTrade
    Indicates a relationship where one entity engages in or maintains a commercial exchange or trading activity 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_69f2248e3444819081b05712dc6873de completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fe6fea4a288190bf8615c5d6bf41b4 completed May 8, 2026, 11:21 p.m.
PD Predicate disambiguation batch_69fe6f774de08190975a2393b9a1fd22 completed May 8, 2026, 11:19 p.m.
Created at: April 29, 2026, 8 p.m.