Triple

T22933260
Position Surface form Disambiguated ID Type / Status
Subject Boengkoe E569503 entity
Predicate alternativeNameOf P39 FINISHED
Object Bungku 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: Bungku language | Statement: [Boengkoe, alternativeNameOf, Bungku language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bungku language
Context triple: [Boengkoe, alternativeNameOf, Bungku language]
  • A. Bungku language chosen
    The Bungku language is an Austronesian language spoken by the Bungku people of southeastern Sulawesi, Indonesia.
  • B. Bunak language
    The Bunak language is a Papuan language spoken primarily in the central region of Timor, straddling the border between Indonesia and Timor-Leste.
  • C. Bulungan language
    The Bulungan language is an Austronesian language spoken by the Bulungan people of northern Borneo, particularly in Indonesia’s North Kalimantan region.
  • D. Bungin language
    The Bungin language is an Austronesian language spoken by the Bungin people of South Sulawesi, Indonesia, and is part of the Massenrempulu subgroup.
  • E. Buru languages
    Buru languages are a small group of closely related Austronesian languages spoken primarily on Buru Island in Indonesia’s Maluku region.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181337ff881909d90cf3f5bae7516 completed April 29, 2026, 3:55 a.m.
Created at: April 17, 2026, 3:44 p.m.