Triple

T23505416
Position Surface form Disambiguated ID Type / Status
Subject Wambule language E572267 entity
Predicate hasAlternativeName P39 FINISHED
Object Wambule Rai 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: Wambule Rai language | Statement: [Wambule language, hasAlternativeName, Wambule Rai language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wambule Rai language
Context triple: [Wambule language, hasAlternativeName, Wambule Rai language]
  • A. Wambule language chosen
    The Wambule language is a Kiranti Sino-Tibetan language spoken by the Wambule (Wambule Rai) people of eastern Nepal.
  • B. Ngomba language
    Ngomba is a Bamileke language spoken in western Cameroon, belonging to the Grassfields branch of the Southern Bantoid languages.
  • C. Tembe language
    The Tembe language is an indigenous Tupi-Guarani language spoken by the Tembé people of northern Brazil.
  • D. Teke-Ngungwel language
    The Teke-Ngungwel language is a Bantu language spoken by the Teke people in Central Africa, particularly in parts of the Republic of the Congo and neighboring regions.
  • E. Makhuwa-Enahara language
    The Makhuwa-Enahara language is a Bantu language spoken primarily in northern Mozambique as one of the varieties of the broader Makhuwa language cluster.
  • 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_69e245b5e4208190bac8a6509867e394 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a8ff97c88190a67f787e1674619e completed April 29, 2026, 6:45 a.m.
Created at: April 17, 2026, 6:07 p.m.