Triple

T12035602
Position Surface form Disambiguated ID Type / Status
Subject Eastern Nilotic languages E286529 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Murle language E252178 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: Murle language | Statement: [Eastern Nilotic languages, hasMemberLanguage, Murle language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murle language
Context triple: [Eastern Nilotic languages, hasMemberLanguage, Murle language]
  • A. Murle language chosen
    The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
  • B. Tembe language
    The Tembe language is an indigenous Tupi-Guarani language spoken by the Tembé people of northern Brazil.
  • C. Malasanga language
    The Malasanga language is an Oceanic language spoken in Papua New Guinea, belonging to the Kula–Malasanga subgroup of the Austronesian language family.
  • D. Warji language
    Warji language is a West Chadic language spoken primarily in Bauchi State, northern Nigeria, by the Warji people.
  • E. Marakwet language
    The Marakwet language is a Southern Nilotic language spoken by the Marakwet people of Kenya and is closely related to other Kalenjin languages such as Kipsigis.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90408cbf0819093270c9833ef149a completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f64826a481908a09ca1c91c4e04f completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:47 p.m.