Triple

T21607490
Position Surface form Disambiguated ID Type / Status
Subject Central Papuan Tip language E533214 entity
Predicate hasMember P10 FINISHED
Object Anuki 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: Anuki language | Statement: [Central Papuan Tip language, hasMember, Anuki language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anuki language
Context triple: [Central Papuan Tip language, hasMember, Anuki language]
  • A. Anuki language chosen
    The Anuki language is an Oceanic language spoken by a small coastal community in Papua New Guinea’s Milne Bay Province.
  • B. Ahirani language
    Ahirani language is an Indo-Aryan language spoken primarily in the Khandesh region of Maharashtra, India, known for its close relation to Marathi and distinct regional dialectal features.
  • C. Camuki language
    The Camuki language, more commonly known as Cèmuhî, is an Austronesian language spoken by the Cèmuhî people of northeastern New Caledonia.
  • D. Aka-Bea language
    The Aka-Bea language is an extinct indigenous tongue once spoken by the Great Andamanese Aka-Bea people of the Andaman Islands in the Bay of Bengal.
  • E. Anuak language
    The Anuak language is a Nilotic language spoken primarily by the Anuak people of western Ethiopia and eastern South Sudan.
  • 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_69e0c46364608190a337dc8720dc2a35 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef17e6378881908678dc903b8ba6ac completed April 27, 2026, 8:01 a.m.
Created at: April 16, 2026, 6:33 p.m.