Triple

T20030871
Position Surface form Disambiguated ID Type / Status
Subject Depati Amir Airport E495119 entity
Predicate servesIsland P970 FINISHED
Object Bangka 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: Bangka | Statement: [Depati Amir Airport, servesIsland, Bangka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bangka
Context triple: [Depati Amir Airport, servesIsland, Bangka]
  • A. Bangka chosen
    Bangka is a large Indonesian island off the east coast of Sumatra, known for its tin mining and beautiful beaches.
  • B. Bangka
    Bangka is the old name for Taipei’s Wanhua District, historically known as one of the city’s earliest and most vibrant commercial and cultural centers.
  • C. Bantia
    Bantia was an ancient Oscan-speaking city in southern Italy, notable for yielding important inscriptions that illuminate the Oscan language and Italic legal traditions.
  • D. Penange
    Penange is a lesser-known Dogon language spoken by the Dogon people of Mali in West Africa.
  • E. Pangcah
    Pangcah is the self-designation of the Amis, one of the largest Indigenous Austronesian peoples of Taiwan, known for their distinct language and rich cultural traditions.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66291a00c8190b0b895909f32d623 completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:36 p.m.