Triple

T12265064
Position Surface form Disambiguated ID Type / Status
Subject Insulindia E292321 entity
Predicate hasPart P35 FINISHED
Object Brunei E256805 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: Brunei | Statement: [Insulindia, hasPart, Brunei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brunei
Context triple: [Insulindia, hasPart, Brunei]
  • A. Brunei Darussalam
    Brunei Darussalam is a small, wealthy sultanate on the island of Borneo in Southeast Asia, known for its vast oil and gas reserves and absolute monarchy.
  • B. Brunei-Kedayan
    Brunei-Kedayan is a Malayic language variety spoken primarily by the Kedayan ethnic group in Brunei and surrounding regions of Borneo.
  • C. Malaysia
    Malaysia is a Southeast Asian country on the Malay Peninsula and parts of Borneo, known for its multicultural society, tropical rainforests, and rapidly developing economy.
  • D. Malesia chosen
    Malesia is a biogeographical region in Southeast Asia encompassing the Malay Peninsula, Indonesia, the Philippines, New Guinea, and surrounding areas, known for its exceptionally rich tropical biodiversity.
  • E. Bruneian
    Bruneian refers to a person from Brunei, a small, wealthy nation on the island of Borneo in Southeast Asia, known for its Malay culture and Islamic heritage.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cdc42988190b4e2a6591a6f919d completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a66711481909fe0b0d3b2934601 completed May 2, 2026, 2:29 p.m.
Created at: April 8, 2026, 9:52 p.m.