Triple

T1053672
Position Surface form Disambiguated ID Type / Status
Subject Bugis E22753 entity
Predicate diasporaRegion P10611 FINISHED
Object Kalimantan E79483 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: Kalimantan | Statement: [Bugis, diasporaRegion, Kalimantan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalimantan
Context triple: [Bugis, diasporaRegion, 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. 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.
  • D. Celebes
    Celebes, now known as Sulawesi, is a large, uniquely shaped island in Indonesia renowned for its diverse cultures, mountainous landscapes, and rich marine biodiversity.
  • E. Central Kalimantan
    Central Kalimantan is a large, sparsely populated province on the island of Borneo in Indonesia, known for its extensive tropical rainforests, Dayak indigenous culture, and significant peatland ecosystems.
  • 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8d669448190955507e2e4975b9f completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace5485ad48190aa56e6228dc98e19 completed March 8, 2026, 2:56 a.m.
Created at: March 1, 2026, 7:42 p.m.