Triple

T13356483
Position Surface form Disambiguated ID Type / Status
Subject Baining people E318705 entity
Predicate usesLanguage P238 FINISHED
Object Simbo language (Baining) E162485 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: Simbo language (Baining) | Statement: [Baining people, usesLanguage, Simbo language (Baining)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simbo language (Baining)
Context triple: [Baining people, usesLanguage, Simbo language (Baining)]
  • A. Simbo language chosen
    The Simbo language is an Oceanic language spoken on Simbo Island in the Western Province of the Solomon Islands.
  • B. 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.
  • C. Banggai language
    The Banggai language is an Austronesian language spoken by the Banggai people in the Banggai Islands and nearby coastal areas of Central Sulawesi, Indonesia.
  • D. Bahing language
    Bahing language is a Kiranti language spoken by the Bahing (Bahing Rai) ethnic group in eastern Nepal.
  • E. Tanimbar languages
    The Tanimbar languages are a subgroup of Austronesian languages spoken primarily in the Tanimbar Islands of eastern Indonesia.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcd4cb008190af99c4856e76ac08 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72675c87c8190b26991b55092c444 completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 9:32 p.m.