Triple

T21869150
Position Surface form Disambiguated ID Type / Status
Subject Dipterocarpaceae E539958 entity
Predicate distribution P1356 FINISHED
Object Malesia NE NERFINISHED

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: Malesia | Statement: [Dipterocarpaceae, distribution, Malesia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malesia
Context triple: [Dipterocarpaceae, distribution, Malesia]
  • A. 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.
  • B. 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.
  • C. Malaisia
    Malaisia is a small genus of flowering plants in the mulberry family, Moraceae, native to tropical regions.
  • D. Malaya
    Malaya is a barangay (village-level administrative division) within the coastal industrial municipality of Mariveles in Bataan, Philippines.
  • E. Brunei-Kedayan
    Brunei-Kedayan is a Malayic language variety spoken primarily by the Kedayan ethnic group in Brunei and surrounding regions of Borneo.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c478f59081909d54302b57fc1ce3 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0f334362c819094af465ee57b47e6 completed April 28, 2026, 5:49 p.m.
Created at: April 16, 2026, 6:57 p.m.