Triple

T21746669
Position Surface form Disambiguated ID Type / Status
Subject Mussau-Emira language E536805 entity
Predicate hasAlternativeName P39 FINISHED
Object Mussau 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: Mussau language | Statement: [Mussau-Emira language, hasAlternativeName, Mussau language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mussau language
Context triple: [Mussau-Emira language, hasAlternativeName, Mussau language]
  • A. Mussau-Emira language chosen
    Mussau-Emira language is an Oceanic Austronesian language spoken primarily on Mussau and nearby islands in Papua New Guinea.
  • B. Tsakhur language
    The Tsakhur language is a Northeast Caucasian language spoken primarily by the Tsakhur people in parts of Azerbaijan and Dagestan.
  • C. Muya language
    The Muya language is a lesser-known Sino-Tibetan language spoken by the Muya people in parts of Sichuan, China, noted for its complex phonology and endangered status.
  • D. Denya language
    Denya is a Bantoid language of the Mamfe group spoken by a small community in southwestern Cameroon.
  • E. Dolgan language
    The Dolgan language is a Turkic language spoken primarily by the Dolgan people of northern Siberia, particularly in Russia’s Taymyr Peninsula.
  • 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a771b908190886cade242e263e4 completed April 28, 2026, 2:24 a.m.
Created at: April 16, 2026, 6:49 p.m.