Triple

T21473021
Position Surface form Disambiguated ID Type / Status
Subject Mussau E529778 entity
Predicate hasLanguage P15 FINISHED
Object Mussau-Emira 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-Emira language | Statement: [Mussau, hasLanguage, Mussau-Emira language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mussau-Emira language
Context triple: [Mussau, hasLanguage, Mussau-Emira 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. Denya language
    Denya is a Bantoid language of the Mamfe group spoken by a small community in southwestern Cameroon.
  • D. Kalina language
    The Kalina language is an indigenous Cariban language spoken by the Kalina (Carib) people of northern South America and the Caribbean coast.
  • E. Shughni language
    Shughni is an Eastern Iranian language spoken primarily in the Pamir region of Tajikistan and Afghanistan, known for its rich oral tradition and use among Shughni ethnic communities.
  • 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_69e0c459acb481909bb6ee452a0045c7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea156dac819087c4594d022d3df6 completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:19 p.m.