Triple

T12111664
Position Surface form Disambiguated ID Type / Status
Subject Uvwie E288444 entity
Predicate hasLanguage P15 FINISHED
Object Urhobo language E274579 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: Urhobo language | Statement: [Uvwie, hasLanguage, Urhobo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urhobo language
Context triple: [Uvwie, hasLanguage, Urhobo language]
  • A. Urhobo language chosen
    The Urhobo language is a Niger-Congo language spoken primarily by the Urhobo people of southern Nigeria, especially in Delta State.
  • B. Ibibio language
    The Ibibio language is a Niger-Congo language spoken primarily in southeastern Nigeria by the Ibibio ethnic group and closely related to other Lower Cross River languages.
  • C. Kugbo language
    The Kugbo language is a lesser-known Niger-Congo language spoken by the Kugbo people of the Niger Delta region in southern Nigeria.
  • D. Ikare-Akoko language
    The Ikare-Akoko language is a Yoruboid language variety spoken primarily in and around the town of Ikare-Akoko in southwestern Nigeria.
  • E. Igala language
    Igala language is a Niger-Congo language spoken primarily in central Nigeria by the Igala people, closely related to Yoruba and other Defoid 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_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_69f64b83c15081908d2ed4c6d2e7534b completed May 2, 2026, 7:07 p.m.
Created at: April 8, 2026, 9:49 p.m.