Triple

T12111439
Position Surface form Disambiguated ID Type / Status
Subject Nyo-Khana E288439 entity
Predicate languageFamily P1047 FINISHED
Object Ogoni languages E288428 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: Ogoni languages | Statement: [Nyo-Khana, languageFamily, Ogoni languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ogoni languages
Context triple: [Nyo-Khana, languageFamily, Ogoni languages]
  • A. Ogoni languages chosen
    Ogoni languages are a small group of closely related Niger-Congo languages spoken by the Ogoni people in the Niger Delta region of southern Nigeria.
  • B. Ijaw languages
    Ijaw languages are a group of closely related Niger-Congo languages spoken primarily by the Ijaw people in the Niger Delta region of southern Nigeria.
  • C. Okpamheri language
    The Okpamheri language is a lesser-known Edoid language spoken by a small ethnic community in southern Nigeria.
  • D. Ogbia language
    The Ogbia language is a Niger-Congo language spoken primarily by the Ogbia people in Bayelsa State in Nigeria.
  • E. Mbam–Nkam languages
    The Mbam–Nkam languages are a subgroup of the Grassfields branch of Bantu-related languages spoken in western Cameroon.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9156709288190b4684cb19037dc38 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655551d8c81909bf0980951f10320 completed May 2, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:49 p.m.