Triple

T22107392
Position Surface form Disambiguated ID Type / Status
Subject Segai language E546320 entity
Predicate region P40 FINISHED
Object Kalimantan 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: Kalimantan | Statement: [Segai language, region, Kalimantan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalimantan
Context triple: [Segai language, region, Kalimantan]
  • A. Kalimantan chosen
    Kalimantan is the Indonesian portion of the island of Borneo, known for its vast rainforests, rich biodiversity, and significant natural resources.
  • B. Borneo
    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. North Kalimantan
    North Kalimantan is a sparsely populated Indonesian province on the northern part of Borneo, known for its dense tropical forests, border with Malaysia, and developing resource-based economy.
  • D. Borneo Island
    Borneo Island is a modern residential island in Amsterdam’s Eastern Docklands, known for its contemporary architecture and waterfront urban design.
  • E. East Kalimantan
    East Kalimantan is a resource-rich Indonesian province on the island of Borneo, known for its vast rainforests, coal and oil reserves, and as the site of the country’s planned new capital, Nusantara.
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1291adc74819092c7753bb6f3768d completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.