Triple

T11093621
Position Surface form Disambiguated ID Type / Status
Subject Moru language E262316 entity
Predicate neighboringLanguages P16383 FINISHED
Object Baka language (South Sudan) E904326 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: Baka language (South Sudan) | Statement: [Moru language, neighboringLanguages, Baka language (South Sudan)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baka language (South Sudan)
Context triple: [Moru language, neighboringLanguages, Baka language (South Sudan)]
  • A. Baka language (South Sudan) chosen
    Baka language (South Sudan) is a lesser-known Central Sudanic language spoken by the Baka people in parts of South Sudan.
  • B. Baka language
    The Baka language is a Central African language spoken primarily by the Baka Pygmy communities in parts of Cameroon, Gabon, and the Republic of the Congo.
  • C. Babanki language
    The Babanki language is a Grassfields Bantu language spoken by the Babanki people in Cameroon.
  • D. Bak languages
    The Bak languages are a group of closely related Atlantic languages spoken primarily in Guinea-Bissau, Senegal, and surrounding regions of West Africa.
  • E. Bakairi language
    The Bakairi language is an indigenous Cariban language spoken by the Bakairi people of central Brazil, known for its endangered status and significance to the cultural identity of its speakers.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799ed12d88190a4ad8c346d68f11f completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d69c8b4819092614e83e855430e completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:27 p.m.