Triple

T23476091
Position Surface form Disambiguated ID Type / Status
Subject Bitonga E570267 entity
Predicate isRelatedTo P37 FINISHED
Object Ronga language NE NERFINISHED

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: Ronga language | Statement: [Bitonga, isRelatedTo, Ronga language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ronga language
Context triple: [Bitonga, isRelatedTo, Ronga language]
  • A. Ronga language chosen
    The Ronga language is a Bantu language spoken primarily in southern Mozambique, closely related to Tsonga and used by the Ronga people in the Maputo region.
  • B. Runga language
    The Runga language is a Central Sudanic language spoken primarily by the Runga people in parts of Chad and the Central African Republic.
  • C. Karanga language
    The Karanga language is a member of the Maban branch of the Nilo-Saharan language family, spoken by communities in the central African region.
  • D. Reang language
    Reang language is a Tibeto-Burman tribal language spoken primarily by the Reang (Bru) community of Tripura and neighboring regions in Northeast India.
  • E. Aringa language
    The Aringa language is a Central Sudanic language spoken primarily by the Aringa people in northwestern Uganda.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a74cf57081909d2b90a806d68c08 completed April 29, 2026, 6:38 a.m.
Created at: April 17, 2026, 6:01 p.m.