Triple

T5119861
Position Surface form Disambiguated ID Type / Status
Subject Bangka Belitung Islands E115434 entity
Predicate hasIsland P970 FINISHED
Object Bangka E192623 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: Bangka | Statement: [Bangka Belitung Islands, hasIsland, Bangka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bangka
Context triple: [Bangka Belitung Islands, hasIsland, 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. 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.
  • C. Kainan
    Kainan is a coastal city in central Wakayama Prefecture, Japan, known for its traditional industries and scenic seaside setting.
  • D. Banggai
    Banggai is a coastal town and regency seat in Indonesia known for its location in the Banggai Islands off the eastern coast of Central Sulawesi.
  • E. Sawahlunto
    Sawahlunto is a historic former coal-mining town in Indonesia known for its well-preserved colonial-era architecture and recognition as a UNESCO World Heritage Site.
  • 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_69bd4442ade0819087b9461f892b206b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd77cf6590819081488b739efae32c completed March 20, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4ac11e081908979b32f458a011e completed March 21, 2026, 4:17 p.m.
Created at: March 20, 2026, 1:42 p.m.