Triple

T14432405
Position Surface form Disambiguated ID Type / Status
Subject Saloum E357866 entity
Predicate language P15 FINISHED
Object Serer language E150319 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: Serer language | Statement: [Saloum, language, Serer language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serer language
Context triple: [Saloum, language, Serer language]
  • A. Serer language chosen
    The Serer language is a Niger-Congo language spoken primarily by the Serer people of Senegal, the Gambia, and Mauritania, known for its rich oral tradition and cultural significance in the region.
  • B. Seri language
    The Seri language is an indigenous, highly distinctive and linguistically isolated language spoken by the Seri people of northwestern Mexico, noted for its complex phonology and morphology.
  • C. Ikwerre language
    Ikwerre language is an Igboid language spoken primarily by the Ikwerre people in Rivers State, Nigeria.
  • D. Bariba language
    Bariba language is a Gur language spoken primarily by the Bariba people of northern Benin and neighboring regions in West Africa.
  • E. Kipsigis language
    The Kipsigis language is a Southern Nilotic language spoken by the Kipsigis people of Kenya, forming part of the broader Kalenjin language cluster.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914570f08190b1c7c1c57a0cb476 completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bd3e6c48190b4fc3794202a0c3f completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.