Triple

T7563255
Position Surface form Disambiguated ID Type / Status
Subject Saluan–Banggai languages E178844 entity
Predicate hasPart P35 FINISHED
Object Saluan language E135945 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: Saluan language | Statement: [Saluan–Banggai languages, hasPart, Saluan language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saluan language
Context triple: [Saluan–Banggai languages, hasPart, Saluan language]
  • A. Saluan language chosen
    The Saluan language is an Austronesian language spoken by the Saluan people of central and eastern Sulawesi, Indonesia.
  • B. Kalanguya language
    The Kalanguya language is an Austronesian language spoken by the Kalanguya people in the northern Luzon highlands of the Philippines.
  • C. Agutaynen language
    Agutaynen is an Austronesian language spoken by the Agutaynen people of Palawan in the Philippines.
  • D. Paraujano language
    The Paraujano language is an indigenous Arawakan (Maipurean) language historically spoken by the Paraujano people of northwestern Venezuela, now critically endangered or nearly extinct.
  • E. Murle language
    The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8fb1c00819096bdb73334d8d72e completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856d8206081909987556fb6ab7084 completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:50 p.m.