Triple

T15870912
Position Surface form Disambiguated ID Type / Status
Subject Banggai E384826 entity
Predicate hasLanguage P15 FINISHED
Object Banggai language E137418 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: Banggai language | Statement: [Banggai, hasLanguage, Banggai language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banggai language
Context triple: [Banggai, hasLanguage, Banggai language]
  • A. Banggai language chosen
    The Banggai language is an Austronesian language spoken by the Banggai people in the Banggai Islands and nearby coastal areas of Central Sulawesi, Indonesia.
  • B. Banjar language
    The Banjar language is an Austronesian language spoken primarily by the Banjar people of South Kalimantan, Indonesia, and is considered a regional variety closely associated with the broader Malay linguistic family.
  • C. Talaud language
    The Talaud language is an Austronesian language spoken by the indigenous population of the Talaud Islands in North Sulawesi, Indonesia.
  • D. Batangan language
    Batangan language is another name for the Buhid language, an Austronesian language spoken by the Mangyan people of Mindoro in the Philippines.
  • E. Baangi language
    The Baangi language is a lesser-known Nupoid (Benue–Congo) language spoken by a small community in Nigeria.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155f915788190a8efc3b3380cb829 completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa94ca15c8190bdd5fe0a30b54b51 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:50 a.m.