Triple

T22159490
Position Surface form Disambiguated ID Type / Status
Subject Sindhu Beach E547629 entity
Predicate isPartOf P10 FINISHED
Object Sanur Beach area 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: Sanur Beach area | Statement: [Sindhu Beach, isPartOf, Sanur Beach area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanur Beach area
Context triple: [Sindhu Beach, isPartOf, Sanur Beach area]
  • 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. Nusa Dua Beach
    Nusa Dua Beach is a popular white-sand coastal destination in southern Bali, Indonesia, known for its calm waters, luxury resorts, and well-maintained beachfront.
  • C. Greater Kuta area
    The Greater Kuta area is a major tourist region in southern Bali encompassing Kuta, Legian, and surrounding beach districts known for their resorts, nightlife, and surfing beaches.
  • D. Tanjung Benoa
    Tanjung Benoa is a coastal resort area in southern Bali, Indonesia, known for its beaches and water sports activities.
  • E. Siloso Beach
    Siloso Beach is a popular man-made beachfront on Singapore’s Sentosa Island known for its lively atmosphere, water sports, and seaside dining.
  • 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_69e11e3c4c5c81908d336165816b12e0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a2c17a4819082fb9e4aaa275462 completed April 28, 2026, 9:44 p.m.
Created at: April 16, 2026, 8:33 p.m.