Triple

T12641724
Position Surface form Disambiguated ID Type / Status
Subject Tawau E301912 entity
Predicate partOf P40 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: [Tawau, partOf, Borneo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borneo
Context triple: [Tawau, partOf, 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. northern Borneo
    Northern Borneo is the upper portion of the island of Borneo, encompassing parts of modern-day Malaysia and Brunei and known for its dense rainforests, rich biodiversity, and indigenous communities.
  • E. Borne Sulinowo
    Borne Sulinowo is a town in northwestern Poland known for having been a secret Soviet military base during the Cold War before being opened to civilians in the 1990s.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9614ae6ac8190b42acbf2b0331fda completed April 10, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6685205608190b504ab6e7c73ee51 completed May 2, 2026, 9:10 p.m.
Created at: April 9, 2026, 5:17 p.m.