Triple

T16767637
Position Surface form Disambiguated ID Type / Status
Subject Okrika language E407506 entity
Predicate belongsToBranch P4276 FINISHED
Object Ijoid languages E84669 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: Ijoid languages | Statement: [Okrika language, belongsToBranch, Ijoid languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ijoid languages
Context triple: [Okrika language, belongsToBranch, Ijoid languages]
  • A. Ijoid languages chosen
    Ijoid languages are a small group of closely related Niger–Congo languages spoken primarily in the Niger Delta region of southern Nigeria.
  • B. Jarawan languages
    Jarawan languages are a small group of Bantoid (often considered Bantu-related) languages spoken primarily in parts of Nigeria and Cameroon.
  • C. Jarrakan languages
    The Jarrakan languages are a small family of closely related Aboriginal Australian languages spoken in the eastern Kimberley region of Western Australia.
  • D. Daju languages
    The Daju languages are a small group of closely related Eastern Sudanic languages spoken primarily in parts of Sudan and Chad.
  • E. Jukunoid languages
    Jukunoid languages are a branch of the Benue–Congo language family spoken primarily in central Nigeria, known for their diversity and close relationship to neighboring Plateau languages.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b033d6b88190a1366a58d63b0546 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a531ea7c81908630f16f6c685d49 completed May 10, 2026, 3:33 p.m.
Created at: April 10, 2026, 5:21 a.m.