Triple

T6647118
Position Surface form Disambiguated ID Type / Status
Subject Central Maluku languages E150728 entity
Predicate includesLanguage P2177 FINISHED
Object Sawai language E170931 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: Sawai language | Statement: [Central Maluku languages, includesLanguage, Sawai language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sawai language
Context triple: [Central Maluku languages, includesLanguage, Sawai language]
  • A. Sawai language chosen
    The Sawai language is an Austronesian language spoken by the Sawai people of eastern Indonesia, particularly in the Maluku region.
  • B. Suwawa language
    The Suwawa language is an Austronesian language spoken by the Suwawa people of northern Sulawesi, Indonesia, and is part of the Gorontalo–Mongondow subgroup.
  • C. Sawu language
    The Sawu language is an Austronesian language spoken primarily on Savu (Sawu) Island in eastern Indonesia.
  • D. Saho language
    The Saho language is an Afroasiatic Cushitic language spoken primarily by the Saho people in Eritrea and northern Ethiopia.
  • E. Baniwa language
    Baniwa is an Arawakan Indigenous language spoken primarily along the Rio Negro in northwestern Brazil, as well as in parts of Colombia and Venezuela.
  • 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_69c687f1a3048190828b7342f7125d5c completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b01cecc48190a6d2c26d8d5ab80c completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eef6def8819084bccdf6f11e63da completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 2 p.m.