Triple

T15651753
Position Surface form Disambiguated ID Type / Status
Subject Ikwerre people E376328 entity
Predicate language P15 FINISHED
Object Ikwerre language E414167 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: Ikwerre language | Statement: [Ikwerre people, language, Ikwerre language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ikwerre language
Context triple: [Ikwerre people, language, Ikwerre language]
  • A. Ikwerre language chosen
    Ikwerre language is an Igboid language spoken primarily by the Ikwerre people in Rivers State, Nigeria.
  • B. Akweya language
    Akweya language is a Niger-Congo language spoken by the Akweya people of central Nigeria and classified within the Idomoid branch.
  • C. Okwanuchu language
    The Okwanuchu language is an extinct Native American tongue once spoken in northern California, belonging to the Shastan family.
  • D. Gbagyi language
    Gbagyi language is a Central Nigerian language spoken predominantly by the Gbagyi (Gwari) people across parts of Nigeria’s Middle Belt region.
  • E. Okpamheri language
    The Okpamheri language is a lesser-known Edoid language spoken by a small ethnic community in southern 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eeed2d48190a7a8a618d90012d0 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ed4d9f88190b7e24bf84c5a916f completed May 9, 2026, 5:28 p.m.
Created at: April 10, 2026, 4:15 a.m.