Triple

T14786435
Position Surface form Disambiguated ID Type / Status
Subject Anuak language E347537 entity
Predicate hasAlternativeName P39 FINISHED
Object Anuak E787821 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: Anuak | Statement: [Anuak language, hasAlternativeName, Anuak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anuak
Context triple: [Anuak language, hasAlternativeName, Anuak]
  • A. Anuak chosen
    The Anuak are a Nilotic ethnic group primarily inhabiting the Gambela region of western Ethiopia and parts of South Sudan, known for their agro-pastoral lifestyle and distinct language and culture.
  • B. Ankwe
    Ankwe is an alternative name for the Goemai people and their Chadic language spoken primarily in central Nigeria.
  • C. Ankola
    Ankola is a coastal town in the Uttara Kannada district of Karnataka, India, known for its beaches, agriculture, and traditional Konkani and Kannada culture.
  • D. Kuanua
    Kuanua is an Austronesian language spoken primarily by the Tolai people of East New Britain in Papua New Guinea.
  • E. Arunaa
    Arunaa is an alternative spelling or variant form of the name Aruna, which is of Sanskrit origin and often associated with the reddish glow of dawn.
  • 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.