Triple

T21418194
Position Surface form Disambiguated ID Type / Status
Subject Wala E528360 entity
Predicate neighboringEthnicGroups P11274 FINISHED
Object Lobi NE NERFINISHED

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: Lobi | Statement: [Wala, neighboringEthnicGroups, Lobi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lobi
Context triple: [Wala, neighboringEthnicGroups, Lobi]
  • A. Lobi chosen
    Lobi is a Gur (Voltaic) language spoken primarily by the Lobi people in Burkina Faso, Ghana, and Côte d’Ivoire.
  • B. Lobiri
    Lobiri is a Gur language spoken primarily by the Lobi people in parts of Burkina Faso and Ghana.
  • C. Loxa
    Loxa is the historical name of the Ecuadorian city now known as Loja, an important cultural and musical center in the country's southern Andes.
  • D. Laiolo
    Laiolo is an alternate name for the Laiyolo language, an Austronesian language spoken in parts of Indonesia.
  • E. Liboi
    Liboi is a small Kenyan border town in the arid northeast near Somalia, serving as a local trading and transit point.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c454c248819093425d1099101c09 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee62d29f948190b820c92014d1c53a completed April 26, 2026, 7:09 p.m.
Created at: April 16, 2026, 5:46 p.m.