Triple

T14110458
Position Surface form Disambiguated ID Type / Status
Subject Keita dynasty E339620 entity
Predicate capitalControlled P31580 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: [Keita dynasty, capitalControlled, Niani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niani
Context triple: [Keita dynasty, capitalControlled, 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. Weija
    Weija is a suburban community in the Greater Accra Region of Ghana, known for the Weija Dam and its role in supplying water to Accra and surrounding areas.
  • C. Ngola
    Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
  • D. Ndiass
    Ndiass is a village in western Senegal that serves as the host community for Blaise Diagne International Airport, one of the country’s main air transport hubs.
  • E. Oranmiyan
    Oranmiyan is a legendary Yoruba prince and warrior-king regarded as a founding figure of both the Oyo Empire in present-day Nigeria and the Benin Kingdom.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de600e6a688190a1243a30ae9b7157 completed April 14, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0b699108190993f1102418ecff1 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.