Triple

T2333726
Position Surface form Disambiguated ID Type / Status
Subject Pontianak E44262 entity
Predicate partOf P40 FINISHED
Object Island of 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: Island of Borneo | Statement: [Pontianak, partOf, Island of Borneo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Island of Borneo
Context triple: [Pontianak, partOf, Island of Borneo]
  • A. Borneo Island
    Borneo Island is a modern residential island in Amsterdam’s Eastern Docklands, known for its contemporary architecture and waterfront urban design.
  • B. 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.
  • C. Labuan Island
    Labuan Island is a small Malaysian federal territory off the coast of Borneo, known as an offshore financial center and duty-free island with historical World War II sites and busy port facilities.
  • D. Kalimantan
    Kalimantan is the Indonesian portion of the island of Borneo, known for its vast rainforests, rich biodiversity, and significant natural resources.
  • E. Kapas Island
    Kapas Island is a small tropical island off the coast of Terengganu, Malaysia, known for its white sandy beaches, clear waters, and coral reefs popular with snorkelers and divers.
  • 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_69a889132b488190bbb43ad4780ddd92 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc66d7ea081908867ff494b70df1e completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc629e4588190b6e56329809ed72d completed March 10, 2026, 7:20 a.m.
Created at: March 4, 2026, 7:51 p.m.