Triple

T18526746
Position Surface form Disambiguated ID Type / Status
Subject Lombok Island E452737 entity
Predicate hasBeach P1922 FINISHED
Object Tanjung Aan Beach 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: Tanjung Aan Beach | Statement: [Lombok Island, hasBeach, Tanjung Aan Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tanjung Aan Beach
Context triple: [Lombok Island, hasBeach, Tanjung Aan Beach]
  • A. Tanjung Aan Beach chosen
    Tanjung Aan Beach is a scenic white-sand bay on the south coast of Lombok, Indonesia, known for its turquoise waters, gentle waves, and relaxed atmosphere.
  • B. Tanjung Medang Beach
    Tanjung Medang Beach is a coastal tourist destination on Rupat Island in Indonesia, known for its long sandy shoreline and scenic sea views.
  • C. Tanjung Pesona Beach
    Tanjung Pesona Beach is a scenic coastal destination on Bangka Island in Indonesia, known for its granite boulders, clear waters, and tranquil seaside atmosphere.
  • D. Tanjung Bunga Beach
    Tanjung Bunga Beach is a scenic coastal destination on Bangka Island in Indonesia, known for its tranquil shoreline and natural seaside beauty.
  • E. Tanjung Lapin Beach
    Tanjung Lapin Beach is a coastal tourist destination on Rupat Island in Indonesia, known for its wide sandy shoreline and scenic sea views.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53392618c8190b44de46b80ee6a6d completed April 19, 2026, 7:57 p.m.
Created at: April 10, 2026, 11:37 a.m.