Triple

T17076201
Position Surface form Disambiguated ID Type / Status
Subject Big Two E414353 entity
Predicate popularIn P729 FINISHED
Object Malaysia E9722 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: Malaysia | Statement: [Big Two, popularIn, Malaysia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malaysia
Context triple: [Big Two, popularIn, Malaysia]
  • A. Malaysia chosen
    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.
  • B. 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.
  • C. Malaisia
    Malaisia is a small genus of flowering plants in the mulberry family, Moraceae, native to tropical regions.
  • D. Brunei-Kedayan
    Brunei-Kedayan is a Malayic language variety spoken primarily by the Kedayan ethnic group in Brunei and surrounding regions of Borneo.
  • E. West Malaysia
    West Malaysia is the peninsular region of Malaysia on the Asian mainland, comprising 11 states and the federal territories of Kuala Lumpur and Putrajaya.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbc559388190b685504cca6ed62b completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012edfda588190aff6c6d4c8d64ddd completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:34 a.m.