Triple

T16767972
Position Surface form Disambiguated ID Type / Status
Subject Defaka language E407517 entity
Predicate hasNeighboringLanguage P16383 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: [Defaka language, hasNeighboringLanguage, Ogoni languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ogoni languages
Context triple: [Defaka language, hasNeighboringLanguage, 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. Ndowe languages
    The Ndowe languages are a group of Bantu languages spoken by coastal communities in Equatorial Guinea and neighboring regions of Central Africa.
  • D. Okpamheri language
    The Okpamheri language is a lesser-known Edoid language spoken by a small ethnic community in southern Nigeria.
  • E. Ogbia language
    The Ogbia language is a Niger-Congo language spoken primarily by the Ogbia people in Bayelsa State in Nigeria.
  • 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_6a012327b68881908ad5f4e2fe03f56a completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:21 a.m.