Triple

T7563259
Position Surface form Disambiguated ID Type / Status
Subject Saluan–Banggai languages E178844 entity
Predicate hasPart P35 FINISHED
Object Balantak language E569520 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: Balantak language | Statement: [Saluan–Banggai languages, hasPart, Balantak language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balantak language
Context triple: [Saluan–Banggai languages, hasPart, Balantak language]
  • A. Balantak language chosen
    The Balantak language is an Austronesian language spoken by the Balantak people of eastern Central Sulawesi, Indonesia.
  • B. Balangao language
    The Balangao language is an Austronesian language spoken by the Balangao people in the Mountain Province of the northern Philippines.
  • C. Blablanga language
    The Blablanga language is an Oceanic language spoken in the Solomon Islands, belonging to the Northwest Solomonic subgroup of the Austronesian language family.
  • D. Embaloh language
    The Embaloh language is an Austronesian language spoken by the Embaloh people of West Kalimantan in Borneo, Indonesia.
  • E. Bambam language
    The Bambam language is an Austronesian language spoken in parts of South Sulawesi, Indonesia, known for its place within the region’s diverse indigenous linguistic landscape.
  • 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.