Triple

T5811920
Position Surface form Disambiguated ID Type / Status
Subject Sanur E128887 entity
Predicate hasBeach P1922 FINISHED
Object Sanur Beach E128887 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: Sanur Beach | Statement: [Sanur, hasBeach, Sanur Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanur Beach
Context triple: [Sanur, hasBeach, Sanur Beach]
  • A. Sanur chosen
    Sanur is a coastal town in southeastern Bali known for its tranquil beaches, laid-back atmosphere, and role as one of the island’s earliest resort destinations.
  • B. Pangandaran Beach
    Pangandaran Beach is a popular coastal tourist destination in Indonesia known for its scenic shoreline, surfing spots, and nearby nature reserves.
  • C. Tanjung Benoa
    Tanjung Benoa is a coastal resort area in southern Bali, Indonesia, known for its beaches and water sports activities.
  • D. Bunga Beach
    Bunga Beach is a secluded coastal beach in New South Wales, Australia, known for its natural scenery and location within Mimosa Rocks National Park.
  • E. Padang Beach
    Padang Beach is a popular coastal area in Padang, West Sumatra, Indonesia, known for its sunset views, seaside promenade, and role as a local recreation and tourism spot along the Indian Ocean.
  • 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_69c0084788848190bcf71f6bc5d71597 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b54c2848190bb85212689d0b511 completed March 22, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09844f0b881908d4165e550f75d47 completed March 23, 2026, 1:32 a.m.
Created at: March 22, 2026, 3:52 p.m.