Triple

T3241973
Position Surface form Disambiguated ID Type / Status
Subject Mali Empire E67983 entity
Predicate majorCity P316 FINISHED
Object Niani E339619 NE 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: Niani | Statement: [Mali Empire, majorCity, Niani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niani
Context triple: [Mali Empire, majorCity, Niani]
  • A. Niani chosen
    Niani was an important medieval West African city that served as the political and commercial center of the Mali Empire.
  • B. Yassa
    Yassa was the codified legal and administrative code traditionally attributed to Genghis Khan that governed the Mongol Empire and its successor states.
  • C. Djenne
    Djenné is an ancient trading city in present-day Mali renowned for its mud-brick architecture and historic role as a center of Islamic scholarship and trans-Saharan commerce.
  • D. Nupe
    Nupe is an ethnic group and former kingdom in central Nigeria, historically known for its riverine trade, craftsmanship, and interactions with neighboring Yoruba states such as the Oyo Empire.
  • E. Sekondi
    Sekondi is a coastal city in southwestern Ghana that developed into an important commercial and transportation hub during the colonial era.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef76d908190815bb456e366ee0a completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e82f91788190a9b14613eab7a439 completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:08 p.m.