Triple

T5615520
Position Surface form Disambiguated ID Type / Status
Subject Kayanic languages E147467 entity
Predicate spokenIn P2266 FINISHED
Object Borneo E15167 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: Borneo | Statement: [Kayanic languages, spokenIn, Borneo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borneo
Context triple: [Kayanic languages, spokenIn, Borneo]
  • A. Borneo chosen
    Borneo is the world’s third-largest island in Southeast Asia, known for its vast rainforests, rich biodiversity, and division among Indonesia, Malaysia, and Brunei.
  • B. Borneo Island
    Borneo Island is a modern residential island in Amsterdam’s Eastern Docklands, known for its contemporary architecture and waterfront urban design.
  • C. Kalimantan
    Kalimantan is the Indonesian portion of the island of Borneo, known for its vast rainforests, rich biodiversity, and significant natural resources.
  • D. Sumatra
    Sumatra is a large Indonesian island in western Indonesia known for its rich biodiversity, active volcanoes, and significant role in regional trade and history.
  • E. Sundaland
    Sundaland is a biogeographical region of Southeast Asia comprising the Malay Peninsula and the western Indonesian islands, known for its high biodiversity and past exposure as a contiguous landmass during periods of low sea level.
  • 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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021d8d600819097df4e265e262d90 completed March 22, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c059f3f6648190af2fd9a5e7cc125b completed March 22, 2026, 9:07 p.m.
Created at: March 22, 2026, 3:39 p.m.