Triple

T14010326
Position Surface form Disambiguated ID Type / Status
Subject Nupoid languages E337060 entity
Predicate hasMajorLanguage P207 FINISHED
Object Dibo language E1073882 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: Dibo language | Statement: [Nupoid languages, hasMajorLanguage, Dibo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dibo language
Context triple: [Nupoid languages, hasMajorLanguage, Dibo language]
  • A. Dibo language chosen
    The Dibo language is a Nupoid language spoken by the Dibo people of central Nigeria.
  • B. Datooga language
    The Datooga language is a Southern Nilotic language spoken by the Datooga people of north-central Tanzania, known for its complex dialect diversity and rich oral tradition.
  • C. Konda-Dora language
    Konda-Dora language is a Dravidian tribal language spoken primarily by the Konda Dora people in parts of Andhra Pradesh and Odisha in India.
  • D. Shekkacho language
    The Shekkacho language is an Afroasiatic Omotic language spoken primarily by the Shekka people in the Sheka Zone of southwestern Ethiopia.
  • E. Bafia language
    The Bafia language is a Bantu language spoken primarily by the Bafia people in central 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed5cfd0819085b9c860b119a9de completed April 14, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc32b459c81908b652286f444e940 completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:19 p.m.