Triple

T3948716
Position Surface form Disambiguated ID Type / Status
Subject Aenianes E84810 entity
Predicate neighboringPeoples P11274 FINISHED
Object Malians E82831 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: Malians | Statement: [Aenianes, neighboringPeoples, Malians]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malians
Context triple: [Aenianes, neighboringPeoples, Malians]
  • A. Malians chosen
    The Malians were an ancient Greek tribe from the region around the Malian Gulf in central Greece, known for their participation in regional religious and political alliances.
  • B. Bambara people
    The Bambara people are a major Mande ethnic group of West Africa, primarily in Mali, known for their rich agricultural traditions, distinctive language, and influential cultural and artistic heritage.
  • C. Guineans
    Guineans are the people originating from the West African country of Guinea, characterized by diverse ethnic groups, languages, and cultural traditions.
  • D. Bambara
    Bambara is a major Mande language widely spoken in Mali and neighboring West African countries, serving as a key lingua franca in the region.
  • E. Dioula
    Dioula is a Mande language of West Africa, widely used as a trade and lingua franca language in countries like Burkina Faso, Côte d’Ivoire, and Mali.
  • 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_69aed934fbfc8190847068e4546de963 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef910ecc08190a4fca89bcf063e0c completed March 9, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5339feb4c8190ad96a5680cb5294e completed March 14, 2026, 10:08 a.m.
Created at: March 9, 2026, 3:30 p.m.