Triple

T14175709
Position Surface form Disambiguated ID Type / Status
Subject Brunei Investment Agency E351326 entity
Predicate regionServed P82 FINISHED
Object Brunei E11482 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: [Brunei Investment Agency, regionServed, Brunei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brunei
Context triple: [Brunei Investment Agency, regionServed, Brunei]
  • A. Brunei Darussalam chosen
    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
    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. Waigani
    Waigani is a suburb of Port Moresby in Papua New Guinea that serves as a key administrative and governmental center.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61c76e8081909994b95b631100e9 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd324772e4819092aef7826b39b144 completed May 8, 2026, 12:45 a.m.
Created at: April 10, 2026, 1:02 a.m.