Triple

T14786346
Position Surface form Disambiguated ID Type / Status
Subject Meʼen language E347534 entity
Predicate isRelatedTo P37 FINISHED
Object Mursi language E867105 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: Mursi language | Statement: [Meʼen language, isRelatedTo, Mursi language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mursi language
Context triple: [Meʼen language, isRelatedTo, Mursi language]
  • A. Mursi language chosen
    The Mursi language is a Surmic language spoken by the Mursi people of southwestern Ethiopia, known for its rich oral tradition and distinctive phonological features.
  • B. Moghamo language
    The Moghamo language is a Bantu-related Grassfields language spoken by the Moghamo people in the Northwest Region of Cameroon.
  • C. Mossi language
    The Mossi language is a major Gur language spoken primarily in Burkina Faso, serving as a key lingua franca and the mother tongue of the Mossi people.
  • D. Mamboru language
    The Mamboru language is an Austronesian language spoken by a small community on Sumba Island in eastern Indonesia.
  • E. Manguissa language
    The Manguissa language is a Bantu language spoken by the Manguissa people of Cameroon, closely related to and geographically adjacent to Ewondo.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decaa083e481908336d58d026eec32 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24b9e8a08190bc736ac207b77324 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:31 a.m.